Visual perception of biological motion by form: A template-matching analysis
Visual perception of biological motion by form: A template-matching analysis
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DOI：
10.1167/6.8.6
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发表时间：
2006-01-01
影响因子：
1.8
通讯作者：
Lappe, Markus
中科院分区：
文献类型：
--
作者：
Lange, Joachim;Georg, Karsten;Lappe, Markus
生物运动感知指的是通过不超过几个移动点光来识别移动人物的能力。这种点光刺激包含关于身体形状的有限形式信息和来自运动点的局部图像运动信号。形式和运动对点光显示器的生动感知的贡献在讨论中受到争议。虽然一些研究声称局部运动信号是至关重要的，但其他研究强调全局形式线索的作用。在这里，我们提出了一种模板匹配方法来研究全局形式分析的作用。我们使用了一种模板匹配方法，该方法只从表单信息中获得生物运动。该算法使用从行走的人类中监测到的静态姿势作为存储模板。我们将模拟结果与心理物理实验结果进行了比较，其中包括常用的点光步行者和一种具有近缺席局部运动信号的变体点光步行者。所有实验的共同结果是模拟结果与心理物理数据之间的高度相关。结果表明，点光刺激中有限的形式信息可能足以感知生物运动。我们认为人类有可能从点光步行者中提取稀疏的形态信息，并通过整合随时间变化的动态形态信息来感知生物运动。
Biological motion perception is referred to as the ability to recognize a moving human figure from no more than a few moving point lights. Such point-light stimuli contain limited form information about the shape of the body and local image motion signals from the moving points. The contributions of form and motion to the vivid perception of point- light displays are subject to controversy in the discussion. While some studies claim that local motion signals are critical, others emphasize the role of global form cues. Here, we present a template-matching approach to investigate the role of global form analysis. We used a template-matching method that derives biological motion exclusively from form information. The algorithm used static postures monitored from walking humans as stored templates. We compared the simulation results to psychophysical experiments with the commonly used point- light walker and a variant point- light walker with near-absent local motion signals. The common result in all experiments was a high correlation between simulation results and psychophysical data. The results show that the limited form information in point- light stimuli might be sufficient to perceive biological motion. We suggest that it is possible for humans to extract the sparse form information in point- light walkers and to use it to perceive biological motion by integrating dynamic form information over time.