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Moving People Recognition Algorithm Based on the Visual Color Processing Mechanism

机译:基于视觉色彩处理机制的移动人识别算法

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In this paper a target people recognition algorithm is proposed, in which the color processing mechanism is inspired by the biological visual system. The algorithm is constructed in two parts. In the first part a spiking neural network is proposed to extract the color features of the objects which are captured from videos. In the second part, after a feature reduction, a Support Vector Machine is used to fuse the color features and recognize the target. The algorithm has been successfully applied to recognize target people appeared in video sequence with a high recognition rate and suitable for generic recognition domain.
机译:本文提出了一种目标人识别算法,该算法基于生物视觉系统对色彩处理机制进行了启发。该算法分为两部分。在第一部分中,提出了一个尖峰神经网络来提取从视频中捕获的对象的颜色特征。在第二部分中,在特征减少之后,使用支持向量机融合颜色特征并识别目标。该算法已成功应用于识别视频序列中出现的目标人物,具有较高的识别率,适用于通用识别领域。

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