文件名称:
Video-based event recognition
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文件大小: 1mb
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上传时间: 2013-03-07
详细说明： We present a new representation and recognition method for human activities. An activity is considered to be composed of action threads, each thread being executed by a single actor. A single-thread action is represented by a stochastic finite automaton of event states, which are recognized from the characteristics of the trajectory and shape of moving blob of the actor using Bayesian methods. A multi-agent event is composed of several action threads related by temporal constraints. Multi-agent events are recognized by propagati ng the constraints and likelihood of event threads in a temporal logic network. We present results on real-world data and performance characterization on perturbed data. ...展开收缩
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