COMPLEX SCENE-BASED HUMAN BODY KEY POINT DETECTION SYSTEM AND METHOD

摘要

Discloses are a complex scene-based human body key point detection system and method. The method comprises: inputting monitor video information to obtain a single-frame static map and a multi-frame optical flow map; extracting features from the single-frame static map by means of a convolution operation to obtain a feature map, and in order to solve the impact of an interference target on personnel target detection under a complex scene, discriminating an actual confidence coefficient of the feature map from a preset confidence coefficient by using a personnel target detection algorithm to obtain a discretized personnel target bounding box; performing optical flow stacking on the multi-frame optical flow map to form a two-dimensional vector field; and extracting features in the discretized personnel target bounding box to obtain the feature map, obtaining key points and association degrees of parts, generating a part confidence map for each part of a human body by using a predictor, and precisely detecting human body key points by means of the part confidence map and the two-dimensional vector field. The system and method of the present invention are used for human body key point detection under a complex scene, thereby implementing precise detection of personnel target key points.