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Analyzing Video Sequences of Multiple Humans

By Jun Ohya

Analyzing Video Sequences of Multiple Humans

By Jun Ohya

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
164
Release Date:
2012-10-31
Publication Date:
2012-10-31
Publisher:
Springer US
Languages:
Original: English
ISBN10:
1461353467
ISBN13:
9781461353461
GPSR Manufacturer Reference:
[email protected]
Weight:
260 g
Height:
155 cm
Width:
235 cm
Thickness:
10 cm
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