| 期刊全称 | Analyzing Video Sequences of Multiple Humans | | 期刊简称 | Tracking, Posture Es | | 影响因子2023 | Jun Ohya,Akira Utsumi,Junji Yamato | | 视频video | | | 学科分类 | The International Series in Video Computing | | 图书封面 |  | | 影响因子 | .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.. | | Pindex | Book 2002 |
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发表于 2025-3-21 16:17:25
