Abstract: When the current method is used to detect the three-dimensional human motion image, it can not accurately obtain the target area in the image, resulting in the problems of low detection integrity, low detection accuracy, high false detection rate and low detection efficiency. Therefore, an intelligent detection algorithm of 3D human motion image based on adaptive projection is proposed. Firstly, the background rough extraction model is constructed, and the background region of 3D human motion image is extracted by using the model to obtain the human motion target region of the image. Secondly, the features of the target region are extracted by adaptive projection method, and the optimal classification function is constructed on the basis of support vector machine. The target region feature is input into the optimal classification function to complete the intelligent detection of three-dimensional human motion image. Experimental results show that the proposed algorithm has high detection integrity, high detection accuracy, low false detection rate and high detection efficiency.

Key words: adaptive projection, three-dimensional human motion image, rough background extraction model, support vector machine, image detection,