Human body behavior recognition method based on spatio-temporal distribution map generated by motion history point clouds
A point cloud generation and motion history technology, applied in the field of computer vision and image processing, can solve the problems of difficulty in extracting point cloud features, huge amount of point cloud data, lack of action time energy distribution, etc. Compatible and high-dimensional, solving complex effects with features
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[0022] The human behavior recognition method based on the spatio-temporal distribution map generated by the movement history point cloud provided by the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0023] Such as figure 1 As shown, the human behavior recognition method based on the time-space distribution map generated by the motion history point cloud provided by the present invention includes the following steps carried out in order:
[0024] (1) Get the point cloud of each frame of the depth image by coordinate mapping the multi-frame depth image that has extracted the foreground in each human action sample, and then fill it into the MHPC until the depth images of all frames are traversed to get the point cloud of the action MHPC, to record the space and time information of the action;
[0025] The specific method is as follows: Motion history point cloud (MHPC) is to compress an action sequence...
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