Analyzing video sequences of multiple humans
Subtitle: tracking, posture estimation and behavior recognition
By: by Jun Ohya, Akira Utsumi, Junji Yamato
Contributors: Utsumi, Akira; Yamato, Junji
Series: Kluwer international series in video computing -- 3; Kluwer international series in video computing -- 3.
Publisher: Springer
Published: 2002
Place of publication: Boston, MA
Language: eng
Format: [electronic resource]
Number of pages: 160
ISBN-13: 9781461510031
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.