Analyzing Video Sequences of Multiple Humans : Tracking, Posture Estimation and Behavior Recognition (Softcover reprint of the original 1st ed. 2002)

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.