After suspense movie space has a substantial role, it plays an irreplaceable role in movie narration. Different spatial forms can give us different feelings and different spatial feelings and can cooperate with different stories to create a different atmosphere. In this paper, a new 3D human behavior recognition algorithm in MV (machine vision) perception is proposed. The new algorithm is achieved by collecting the human behavior images and detecting the contour areas of the images. By reducing the projection area of the spatial positioning error area of unknown nodes on the plane, the positioning accuracy of unknown nodes in each axis direction is improved. The necessary brightness correction and color saturation compensation are carried out in color space. The results show that the average recognition rate of human behavior in MV perception is 95%, which can effectively improve the recognition accuracy. The enhanced color image is not only clearer but also more vivid and bright, which achieves the expected purpose.