Analyzing Video Sequences of Multiple Humans - Tracking, Posture Estimation and Behavior Recognition (Hardcover)

Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition describes some computer vision-based methods that analyze video sequences of humans. More specifically, methods for tracking multiple humans in a scene, estimating postures of a human body in 3D in real-time, and recognizing a person's behavior (gestures or activities) are discussed. For the tracking algorithm, the authors developed a non-synchronous method that tracks multiple persons by exploiting a Kalman filter that is applied to multiple video sequences. For estimating postures, an algorithm is presented that locates the significant points which determine postures of a human body, in 3D in real-time. Human activities are recognized from a video sequence by the HMM (Hidden Markov Models)-based method that the authors pioneered. The effectiveness of the three methods is shown by experimental results.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The International Series in Video Computing, 3
Release date:	March 2002
First published:	2002
Authors:	Jun Ohya • Akira Utsumi • Junji Yamato
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	138
ISBN-13:	978-1-4020-7021-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Promotions
LSN:	1-4020-7021-7
Barcode:	9781402070211

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