Gait information is a new biological characteristic with wide application prospects in medical and forensic fields,making it a hot spot in current research.Although researchers have proposed a variety of gait recognition methods,there are still some problems such as poor adaptability,overly complex feature description,and lack of interpretability.To solve this problem,firstly,the three-frame difference algorithm is improved to extract the human contour from video images.Then,a central structure model of human body is established based on the human body contour diagram,allowing for the identification of key points and the modeling of trajectory curves based on their locations in the video.Finally,a new gait feature description method is proposed using the previous curve model,with appropriate model parameters selected as gait feature vectors and suitable classification methods chosen for gait recognition and classification.Experimental results show that the proposed gait feature expression based on the trajectory model of key points can describe human gait information well and the recognition rate is relatively high.
gait recognitioncontour extractionhuman skeleton extractionkey point motion trajectory
维普
万方数据
