Abstract:In the actual tracking process of moving objects in daily life,due to the uncertain movement direction of the target and the complex and changeable background environment,it is more difficult to track the dynamic target.Therefore,it is difficult to extract the characteristics of the target with the common recognition method,so the dynamic target cannot be tracked accurately.Face recognition algorithm research based on template matching is presented,face feature extraction algorithm based on HOG and face matching algorithm based on Euclidean distance are analyzed,and face recognition and tracking system is designed.The experimental results show that through dynamic target vision detection and PID control Angle output,face recognition tracking of specific targets is realized.