Author: Lo Books
Publisher:
ISBN: 9781696793698
Category :
Languages : en
Pages : 30
Book Description
Looking to track your mood but don't want to draw your own? Consider this mood tracker with coloring pages ready for mood tracking. This Mood Tracker Journal is a fun and easy way to track and see your mood. With 26 pages of unique weekly mood trackers in a coloring book style, this book will help you keep track for six months. See a complete overview of your daily mood with a six month daily tracker in the back of the mood tracker. This mood tracker coloring book features the following: 26 Weekly Trackers, color in each day according to your general mood and at the end of the week see the completely colored page to see what mood was most prominent. 1 six month daily grid tracker with 180 days to track. 8" x 10" Examples on back cover Attractive front cover This is great for your bujo mood tracking dreams without templates or drawing your own.
Mood Tracker
Author: Lo Books
Publisher:
ISBN: 9781696793698
Category :
Languages : en
Pages : 30
Book Description
Looking to track your mood but don't want to draw your own? Consider this mood tracker with coloring pages ready for mood tracking. This Mood Tracker Journal is a fun and easy way to track and see your mood. With 26 pages of unique weekly mood trackers in a coloring book style, this book will help you keep track for six months. See a complete overview of your daily mood with a six month daily tracker in the back of the mood tracker. This mood tracker coloring book features the following: 26 Weekly Trackers, color in each day according to your general mood and at the end of the week see the completely colored page to see what mood was most prominent. 1 six month daily grid tracker with 180 days to track. 8" x 10" Examples on back cover Attractive front cover This is great for your bujo mood tracking dreams without templates or drawing your own.
Publisher:
ISBN: 9781696793698
Category :
Languages : en
Pages : 30
Book Description
Looking to track your mood but don't want to draw your own? Consider this mood tracker with coloring pages ready for mood tracking. This Mood Tracker Journal is a fun and easy way to track and see your mood. With 26 pages of unique weekly mood trackers in a coloring book style, this book will help you keep track for six months. See a complete overview of your daily mood with a six month daily tracker in the back of the mood tracker. This mood tracker coloring book features the following: 26 Weekly Trackers, color in each day according to your general mood and at the end of the week see the completely colored page to see what mood was most prominent. 1 six month daily grid tracker with 180 days to track. 8" x 10" Examples on back cover Attractive front cover This is great for your bujo mood tracking dreams without templates or drawing your own.
Tracking Color in Cinema and Art
Author: Edward Branigan
Publisher: Routledge
ISBN: 1315317486
Category : Performing Arts
Languages : en
Pages : 376
Book Description
Color is one of cinema’s most alluring formal systems, building on a range of artistic traditions that orchestrate visual cues to tell stories, stage ideas, and elicit feelings. But what if color is not—or not only—a formal system, but instead a linguistic effect, emerging from the slipstream of our talk and embodiment in a world? This book develops a compelling framework from which to understand the mobility of color in art and mind, where color impressions are seen through, and even governed by, patterns of ordinary language use, schemata, memories, and narrative. Edward Branigan draws on the work of Ludwig Wittgenstein and other philosophers who struggle valiantly with problems of color aesthetics, contemporary theories of film and narrative, and art-historical models of analysis. Examples of a variety of media, from American pop art to contemporary European cinema, illustrate a theory based on a spectator’s present-time tracking of temporal patterns that are firmly entwined with language use and social intelligence.
Publisher: Routledge
ISBN: 1315317486
Category : Performing Arts
Languages : en
Pages : 376
Book Description
Color is one of cinema’s most alluring formal systems, building on a range of artistic traditions that orchestrate visual cues to tell stories, stage ideas, and elicit feelings. But what if color is not—or not only—a formal system, but instead a linguistic effect, emerging from the slipstream of our talk and embodiment in a world? This book develops a compelling framework from which to understand the mobility of color in art and mind, where color impressions are seen through, and even governed by, patterns of ordinary language use, schemata, memories, and narrative. Edward Branigan draws on the work of Ludwig Wittgenstein and other philosophers who struggle valiantly with problems of color aesthetics, contemporary theories of film and narrative, and art-historical models of analysis. Examples of a variety of media, from American pop art to contemporary European cinema, illustrate a theory based on a spectator’s present-time tracking of temporal patterns that are firmly entwined with language use and social intelligence.
Ruby Charm Colors Big Book of Color Charts
Author: Susan Carlson
Publisher:
ISBN: 9780578250755
Category :
Languages : en
Pages : 0
Book Description
222 page, 8.5 x 11", spiral bound and tabbed Artist Edition book dedicated to charting and swatching colored pencils, pastel pencils, watercolor pencils, ink, and markers. Book includes 49 pre-labeled charts (with color names and numbers) of the most popular brands. Book also includes blank charts for additional brands and media, and a large number of original line art illustrations that can be colored. This book was designed and illustrated for the adult coloring market by Susan Carlson (aka Ruby Charm Colors).
Publisher:
ISBN: 9780578250755
Category :
Languages : en
Pages : 0
Book Description
222 page, 8.5 x 11", spiral bound and tabbed Artist Edition book dedicated to charting and swatching colored pencils, pastel pencils, watercolor pencils, ink, and markers. Book includes 49 pre-labeled charts (with color names and numbers) of the most popular brands. Book also includes blank charts for additional brands and media, and a large number of original line art illustrations that can be colored. This book was designed and illustrated for the adult coloring market by Susan Carlson (aka Ruby Charm Colors).
A novel object tracking algorithm by fusing color and depth information based on single valued neutrosophic cross-entropy
Author: Keli Hua
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12
Book Description
Although appearance based trackers have been greatly improved in the last decade, they are still struggling with some challenges like occlusion, blur, fast motion, deformation, etc. As known, occlusion is still one of the soundness challenges for visual tracking. Other challenges are also not fully resolved for the existed trackers. In this work, we focus on tackling the latter problem in both color and depth domains.
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12
Book Description
Although appearance based trackers have been greatly improved in the last decade, they are still struggling with some challenges like occlusion, blur, fast motion, deformation, etc. As known, occlusion is still one of the soundness challenges for visual tracking. Other challenges are also not fully resolved for the existed trackers. In this work, we focus on tackling the latter problem in both color and depth domains.
Learning Convolution Operators for Visual Tracking
Author: Martin Danelljan
Publisher: Linköping University Electronic Press
ISBN: 9176853322
Category :
Languages : en
Pages : 81
Book Description
Visual tracking is one of the fundamental problems in computer vision. Its numerous applications include robotics, autonomous driving, augmented reality and 3D reconstruction. In essence, visual tracking can be described as the problem of estimating the trajectory of a target in a sequence of images. The target can be any image region or object of interest. While humans excel at this task, requiring little effort to perform accurate and robust visual tracking, it has proven difficult to automate. It has therefore remained one of the most active research topics in computer vision. In its most general form, no prior knowledge about the object of interest or environment is given, except for the initial target location. This general form of tracking is known as generic visual tracking. The unconstrained nature of this problem makes it particularly difficult, yet applicable to a wider range of scenarios. As no prior knowledge is given, the tracker must learn an appearance model of the target on-the-fly. Cast as a machine learning problem, it imposes several major challenges which are addressed in this thesis. The main purpose of this thesis is the study and advancement of the, so called, Discriminative Correlation Filter (DCF) framework, as it has shown to be particularly suitable for the tracking application. By utilizing properties of the Fourier transform, a correlation filter is discriminatively learned by efficiently minimizing a least-squares objective. The resulting filter is then applied to a new image in order to estimate the target location. This thesis contributes to the advancement of the DCF methodology in several aspects. The main contribution regards the learning of the appearance model: First, the problem of updating the appearance model with new training samples is covered. Efficient update rules and numerical solvers are investigated for this task. Second, the periodic assumption induced by the circular convolution in DCF is countered by proposing a spatial regularization component. Third, an adaptive model of the training set is proposed to alleviate the impact of corrupted or mislabeled training samples. Fourth, a continuous-space formulation of the DCF is introduced, enabling the fusion of multiresolution features and sub-pixel accurate predictions. Finally, the problems of computational complexity and overfitting are addressed by investigating dimensionality reduction techniques. As a second contribution, different feature representations for tracking are investigated. A particular focus is put on the analysis of color features, which had been largely overlooked in prior tracking research. This thesis also studies the use of deep features in DCF-based tracking. While many vision problems have greatly benefited from the advent of deep learning, it has proven difficult to harvest the power of such representations for tracking. In this thesis it is shown that both shallow and deep layers contribute positively. Furthermore, the problem of fusing their complementary properties is investigated. The final major contribution of this thesis regards the prediction of the target scale. In many applications, it is essential to track the scale, or size, of the target since it is strongly related to the relative distance. A thorough analysis of how to integrate scale estimation into the DCF framework is performed. A one-dimensional scale filter is proposed, enabling efficient and accurate scale estimation.
Publisher: Linköping University Electronic Press
ISBN: 9176853322
Category :
Languages : en
Pages : 81
Book Description
Visual tracking is one of the fundamental problems in computer vision. Its numerous applications include robotics, autonomous driving, augmented reality and 3D reconstruction. In essence, visual tracking can be described as the problem of estimating the trajectory of a target in a sequence of images. The target can be any image region or object of interest. While humans excel at this task, requiring little effort to perform accurate and robust visual tracking, it has proven difficult to automate. It has therefore remained one of the most active research topics in computer vision. In its most general form, no prior knowledge about the object of interest or environment is given, except for the initial target location. This general form of tracking is known as generic visual tracking. The unconstrained nature of this problem makes it particularly difficult, yet applicable to a wider range of scenarios. As no prior knowledge is given, the tracker must learn an appearance model of the target on-the-fly. Cast as a machine learning problem, it imposes several major challenges which are addressed in this thesis. The main purpose of this thesis is the study and advancement of the, so called, Discriminative Correlation Filter (DCF) framework, as it has shown to be particularly suitable for the tracking application. By utilizing properties of the Fourier transform, a correlation filter is discriminatively learned by efficiently minimizing a least-squares objective. The resulting filter is then applied to a new image in order to estimate the target location. This thesis contributes to the advancement of the DCF methodology in several aspects. The main contribution regards the learning of the appearance model: First, the problem of updating the appearance model with new training samples is covered. Efficient update rules and numerical solvers are investigated for this task. Second, the periodic assumption induced by the circular convolution in DCF is countered by proposing a spatial regularization component. Third, an adaptive model of the training set is proposed to alleviate the impact of corrupted or mislabeled training samples. Fourth, a continuous-space formulation of the DCF is introduced, enabling the fusion of multiresolution features and sub-pixel accurate predictions. Finally, the problems of computational complexity and overfitting are addressed by investigating dimensionality reduction techniques. As a second contribution, different feature representations for tracking are investigated. A particular focus is put on the analysis of color features, which had been largely overlooked in prior tracking research. This thesis also studies the use of deep features in DCF-based tracking. While many vision problems have greatly benefited from the advent of deep learning, it has proven difficult to harvest the power of such representations for tracking. In this thesis it is shown that both shallow and deep layers contribute positively. Furthermore, the problem of fusing their complementary properties is investigated. The final major contribution of this thesis regards the prediction of the target scale. In many applications, it is essential to track the scale, or size, of the target since it is strongly related to the relative distance. A thorough analysis of how to integrate scale estimation into the DCF framework is performed. A one-dimensional scale filter is proposed, enabling efficient and accurate scale estimation.
Pattern Recognition
Author: Christian Wallraven
Publisher: Springer Nature
ISBN: 3031024443
Category : Computers
Languages : en
Pages : 607
Book Description
This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.
Publisher: Springer Nature
ISBN: 3031024443
Category : Computers
Languages : en
Pages : 607
Book Description
This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.
Image Analysis
Author: Rasmus R. Paulsen
Publisher: Springer
ISBN: 3319196650
Category : Computers
Languages : en
Pages : 544
Book Description
This book constitutes the refereed proceedings of the 19th Scandinavian Conference on Image Analysis, SCIA 2015, held in Copenhagen, Denmark, in June 2015. The 45 revised papers presented were carefully reviewed and selected from 67 submissions. The contributions are structured in topical sections on novel applications of vision systems, pattern recognition, machine learning, feature extraction, segmentation, 3D vision to medical and biomedical image analysis.
Publisher: Springer
ISBN: 3319196650
Category : Computers
Languages : en
Pages : 544
Book Description
This book constitutes the refereed proceedings of the 19th Scandinavian Conference on Image Analysis, SCIA 2015, held in Copenhagen, Denmark, in June 2015. The 45 revised papers presented were carefully reviewed and selected from 67 submissions. The contributions are structured in topical sections on novel applications of vision systems, pattern recognition, machine learning, feature extraction, segmentation, 3D vision to medical and biomedical image analysis.
Sobriety
Author: Elegant Solution Elegant Solution Publishing
Publisher:
ISBN:
Category :
Languages : en
Pages : 147
Book Description
Chronicle your recovery journey in this guided (prompted) sobriety journal: It is the perfect way to help you track what could potentially trigger a relapse. It celebrates the total days staying sober, and the inspirational quotes help to move forward. Our Sobriety Journal was designed by our in-house designers and makes the perfect gift yourself or for friends and family recovering from alcohol abuse, tobacco, drug addiction, food addiction or other related problems. This sobriety journal features: A daily journal page with an inspirational quote a tracker of days sober a place to record daily feelings, daily goals, gratitude, etc. a reflections page for free-form journalling, as well as a dot-grid space for bullet journaling, doodling, drawing, etc. A monthly page "Month At a Glance" with a circular habit tracker that provides a great visual representation of a habit formation. Bonus: 10 coloring pages at the end of the book for relaxation and creativity supporting sobriety. Silky matte-finish cover High-quality white paper 147 pages: for 2 months of journaling. Pick up your book copy and start journalling your recovery journey: one day and one page at a time! Additional cover designs are also available. To find them: click on the book series link or our author page at the top of the page.
Publisher:
ISBN:
Category :
Languages : en
Pages : 147
Book Description
Chronicle your recovery journey in this guided (prompted) sobriety journal: It is the perfect way to help you track what could potentially trigger a relapse. It celebrates the total days staying sober, and the inspirational quotes help to move forward. Our Sobriety Journal was designed by our in-house designers and makes the perfect gift yourself or for friends and family recovering from alcohol abuse, tobacco, drug addiction, food addiction or other related problems. This sobriety journal features: A daily journal page with an inspirational quote a tracker of days sober a place to record daily feelings, daily goals, gratitude, etc. a reflections page for free-form journalling, as well as a dot-grid space for bullet journaling, doodling, drawing, etc. A monthly page "Month At a Glance" with a circular habit tracker that provides a great visual representation of a habit formation. Bonus: 10 coloring pages at the end of the book for relaxation and creativity supporting sobriety. Silky matte-finish cover High-quality white paper 147 pages: for 2 months of journaling. Pick up your book copy and start journalling your recovery journey: one day and one page at a time! Additional cover designs are also available. To find them: click on the book series link or our author page at the top of the page.
Computer Vision – ECCV 2020 Workshops
Author: Adrien Bartoli
Publisher: Springer Nature
ISBN: 3030682382
Category : Computers
Languages : en
Pages : 752
Book Description
The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part V includes: The 16th Embedded Vision Workshop; Real-World Computer Vision from Inputs with Limited Quality (RLQ); The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020); The Visual Object Tracking Challenge Workshop (VOT 2020); and Video Turing Test: Toward Human-Level Video Story Understanding.
Publisher: Springer Nature
ISBN: 3030682382
Category : Computers
Languages : en
Pages : 752
Book Description
The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part V includes: The 16th Embedded Vision Workshop; Real-World Computer Vision from Inputs with Limited Quality (RLQ); The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020); The Visual Object Tracking Challenge Workshop (VOT 2020); and Video Turing Test: Toward Human-Level Video Story Understanding.
Smart Sensors and Devices in Artificial Intelligence
Author: Dan Zhang
Publisher: MDPI
ISBN: 3039436694
Category : Technology & Engineering
Languages : en
Pages : 336
Book Description
Sensors are the eyes or/and ears of an intelligent system, such as UAV, AGV and robots. With the development of material, signal processing, and multidisciplinary interactions, more and more smart sensors are proposed and fabricated under increasing demands for homes, the industry, and military fields. Networks of sensors will be able to enhance the ability to obtain huge amounts of information (big data) and improve precision, which also mirrors the developmental tendency of modern sensors. Moreover, artificial intelligence is a novel impetus for sensors and networks, which gets sensors to learn and think and feed more efficient results back. This book includes new research results from academia and industry, on the subject of “Smart Sensors and Networks”, especially sensing technologies utilizing Artificial Intelligence. The topics include: smart sensors biosensors sensor network sensor data fusion artificial intelligence deep learning mechatronics devices for sensors applications of sensors for robotics and mechatronics devices
Publisher: MDPI
ISBN: 3039436694
Category : Technology & Engineering
Languages : en
Pages : 336
Book Description
Sensors are the eyes or/and ears of an intelligent system, such as UAV, AGV and robots. With the development of material, signal processing, and multidisciplinary interactions, more and more smart sensors are proposed and fabricated under increasing demands for homes, the industry, and military fields. Networks of sensors will be able to enhance the ability to obtain huge amounts of information (big data) and improve precision, which also mirrors the developmental tendency of modern sensors. Moreover, artificial intelligence is a novel impetus for sensors and networks, which gets sensors to learn and think and feed more efficient results back. This book includes new research results from academia and industry, on the subject of “Smart Sensors and Networks”, especially sensing technologies utilizing Artificial Intelligence. The topics include: smart sensors biosensors sensor network sensor data fusion artificial intelligence deep learning mechatronics devices for sensors applications of sensors for robotics and mechatronics devices