Incremental model-based discrimination of articulated movement from motion features

N. H. Goddard
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引用次数: 29

Abstract

Discrimination of articulated movement is a central problem in perception. We present a model-based system designed to discriminate articulated movements and demonstrate its capabilities in distinguishing three human gaits. Recognition proceeds directly from uninterpreted visual motion features. The adaptive model of movement, the scenario, is based on discrete parameterized events separated by parameterized time intervals. Experimental results are shown for real data derived from moving light displays, demonstrating the effectiveness of the structured connectionist approach.<>
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基于增量模型的关节运动特征识别
对清晰运动的辨别是知觉中的一个核心问题。我们提出了一个基于模型的系统来区分关节运动,并展示了它在区分三种人类步态方面的能力。识别直接从未解释的视觉运动特征进行。运动的自适应模型,即场景,是基于由参数化时间间隔分隔的离散参数化事件。实验结果显示了来自移动光显示器的真实数据,证明了结构化连接主义方法的有效性
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