RBF neural network-based method for action recognition is presented by using the contours of image sequence as representative descriptors of human posture to achieve daily human actions recognition.
提出了一种以人的动作序列图像的轮廓为特征，基于RBF神经网络的日常行为识别方法。
A RBF neural network-based method for action recognition is presented by using the contours of image sequence as representative descriptors of human posture to achieve daily human actions recognition.
提出了一种以人的动作序列图像的轮廓为特征，基于RBF神经网络的日常行为识别方法。
In order to realize intelligent surveillance in some places such as sentry and so on, this paper present an approach to multiple human body posture recognition based on Support Vector Machine.
为了实现对边防哨所等场合中无人监控的车辆、人体直立、哈腰、匍匐几种姿态的识别，提出了一种基于支持向量机的多种人体姿态识别方法。
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