With the rapid development of science and technology, information video processing technology has become a research field that has attracted widespread attention. Automatic recognition of motion gestures is an important research object in the field of information technology. It has been widely used in education, medical treatment and finance, and has promoted the further development of this technology. The application of information video processing technology in motion posture and automatic recognition of motion posture contribute to better scientific education and technical diagnosis. This article is based on the research of automatic motion detection system based on video information processing technology. Based on the summary and analysis of relevant research work at home and abroad, this paper mainly studies the detection of moving posture targets, the segmentation of moving posture targets, and the automatic recognition of moving posture tracking in video sequences based on the characteristics of the motion posture. This research aims to effectively improve the effect of automatic recognition of sports high poses while appropriately reducing the computational complexity. The research focuses on finding simpler and more informative automatic recognition methods of sports poses, and a large number of targeted methods have been carried out. This research uses these algorithms to extract moving images from videos, and proposes an automatic recognition method of motion gestures based on information video processing technology. Experimental results show that the average error rate of the system designed in this paper is 89.5%, which can meet the current application requirements for automatic recognition of motion gestures.