Successive Human Tracking and Posture Estimation with Multiple Omnidirectional Cameras
| Autor: | Shunsuke Akama, Toru Yamaguchi, Shoji Yamamoto, Eri Sato-Shimokawara, Akihiro Matsufuji |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Foot (prosody)
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Tracking (particle physics) 01 natural sciences 010309 optics Constraint (information theory) Position (vector) 0103 physical sciences Line (geometry) 0202 electrical engineering electronic engineering information engineering Trajectory 020201 artificial intelligence & image processing Computer vision Artificial intelligence Particle filter Omnidirectional antenna business |
| Zdroj: | TAAI |
| DOI: | 10.1109/taai.2018.00019 |
| Popis: | We propose a successive method for human tracking and posture estimation by using multiple omnidirectional cameras appropriate for Machine Learning method. A stable estimation for foot and head position is executed by the combination analysis with particle filter processing. Moreover, a classification method is accomplished by using the constraint of the connected line between head and foot position. The combination both this constraint and relative height from head to foot is possible to distinguish typical four postures for human activities in an indoor scene. We believe that this continuity of each data helps smooth convergence to the time-sequential learning for the discrimination between normal and abnormal behavior. |
| Databáze: | OpenAIRE |
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