Machine learning for vision-based motion analysis : theory and techniques / Liang Wang [and others], editors.
Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and...
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| Format: | Ebook |
| Language: | English |
| Published: |
London :
Springer,
[2011]
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| Series: | Advances in pattern recognition.
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| Subjects: | |
| Online Access: | Springer eBooks |
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| 245 | 0 | 0 | |a Machine learning for vision-based motion analysis : |b theory and techniques / |c Liang Wang [and others], editors. |
| 264 | 1 | |a London : |b Springer, |c [2011] | |
| 264 | 4 | |c ©2011 | |
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| 490 | 1 | |a Advances in pattern recognition | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface; Part I: Manifold Learning and Clustering/Segmentation; Part II: Tracking; Part III: Motion Analysis and Behavior Modeling; Part IV: Gesture and Action Recognition; Contents; Manifold Learning and Clustering/Segmentation; Practical Algorithms of Spectral Clustering: Toward Large-Scale Vision-Based Motion Analysis; Riemannian Manifold Clustering and Dimensionality Reduction for Vision-Based Analysis; Manifold Learning for Multi-dimensional Auto-regressive Dynamical Models; Tracking; Mixed-State Markov Models in Image Motion Analysis. | |
| 520 | |a Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second In. | ||
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| 650 | 0 | |a Machine learning. |9 320264 | |
| 650 | 0 | |a Computer vision. |9 315915 | |
| 700 | 1 | |a Wang, Liang, |d 1975- |9 446478 | |
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