Machine learning for vision-based motion analysis theory and techniques

Machine learning for vision-based motion analysis theory and techniques

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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Bibliografski detalji
Autor kompanije: SpringerLink (Online Service)
Daljnji autori: Wang, Liang, Zhao, Guoying, Cheng, Li, Pietikäinen, Matti
Format: Electronic Resource
Jezik:English
Izdano: London Springer c2011.
Serija:Advances in Pattern Recognition
Teme:
Computer vision.
Motion perception (Vision).
Machine learning.
Electronic books.
Online pristup:Available for University of the Philippines Diliman via SpringerLink. Click here to access