Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition

By Akira Utsumi, Junji Yamato, Jun Ohya

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 1461353467
• ISBN13: 9781461353461
• Release Date: October 2012
• Publisher: Springer
• Length: 138 Pages
• Weight: 0.53 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"