A study of motion recognition from video sequences
A study of motion recognition from video sequences
复制标题
视频序列运动识别的研究
DOI：
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复制
发表时间：
2005
期刊：
影响因子：
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通讯作者：
Simon X. Yang
中科院分区：
文献类型：
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作者：
Xiang Yu;Simon X. Yang
基于生物感觉运动系统中存在一系列运动原语的认知假设，提出了一种从视频序列中识别人体运动的方法。首先，使用基于内容的图像检索算法从单个图像中获取统计特征向量。采用无监督学习算法自组织映射对这些基于形状的特征进行聚类。基于最小描述长度原则，通过搜索得到的时间序列来恢复运动原语。对一个37秒视频序列的运动识别实验结果表明，该方法可以有效地识别运动，并达到与人类感知相似的效果。
This paper proposes a method for recognizing human motions from video sequences, based on the cognitive hypothesis that there exists a repertoire of movement primitives in biological sensory motor systems. First, a content-based image retrieval algorithm is used to obtain statistical feature vectors from individual images. An unsupervised learning algorithm, self-organizing map, is employed to cluster these shape-based features. Motion primitives are recovered by searching the resulted time serials based on the minimum description length principle. Experimental results of motion recognition from a 37 seconds video sequence show that the proposed approach can efficiently recognize the motions, in a manner similar to human perception.
影响因子：
56.9
作者：
BIZZI, E;MUSSAIVALDI, FA;GISZTER, S
通讯作者：
GISZTER, S