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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition

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

Ohya, Jun
Utsumi, Akira
Yamato, Junji

Paperback

Series: The International Video Computing, Book 3

Medical ReferenceGeneral Computers

ISBN10: 1461353467
ISBN13: 9781461353461
Publisher: Springer Nature
Published: Oct 31 2012
Pages: 138
Weight: 0.53
Height: 0.35 Width: 6.14 Depth: 9.21
Language: English
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.

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