Research on Person Re-Identification Based on Specific Frame Posture Detection

With the increasing demand for video surveillance and personal safety, posture-based person re-identification technology has become increasingly important. This paper proposes a method for human posture detection using OpenPose and identifies individuals by utilizing the detected key points. The method first learns the posture features of trained individuals from multiple videos, and then in the test video, it can accurately identify different individuals through posture detection even if the facial and clothing features of the individuals change. Experimental results show that the method has a high recognition accuracy and robustness in different scenarios.