Machine Learning for Vision-Based Motion Analysis : Theory and Techniques /

Machine Learning for Vision-Based Motion Analysis : Theory and Techniques /

Show other versions (1)

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...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Cheng, Li (Editor, http://id.loc.gov/vocabulary/relators/edt), Pietikäinen, Matti (Editor, http://id.loc.gov/vocabulary/relators/edt), Wang, Liang, 1975- (Editor, http://id.loc.gov/vocabulary/relators/edt), Zhao, Guoying (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Book
Language:English
Published: London : Springer London : Imprint: Springer, 2011
Edition:First edition 2011
Series:Advances in computer vision and pattern recognition
Computer Science (Springer-11645)
Subjects:
Artificial intelligence
Optical data processing
Image Processing and Computer Vision
Artificial Intelligence

Internet

This item is not available through BorrowDirect. Please contact your institution’s interlibrary loan office for further assistance.

Similar Items