Identity identification method and apparatus based on combination of gait and face

Abstract

The invention relates to an identity identification method and apparatus with the combination of the gait and the face based on deep learning. The apparatus comprises a video acquisition and preprocessing module, a gait feature extraction module, a face feature extraction module and an identification module. The method includes: acquiring a video stream, and performing pedestrian detection and tracking and face detection on the video stream; performing gait feature extraction on human body images, and calculating quality evaluation scores of gait features; performing face feature extraction onface images, calculating quality evaluation scores of face features, and regarding the face image with the highest quality evaluation score as a to-be-identified face image; and performing weightingon the gait features and the face features according to respective quality scores, and inputting the weighted scores into a SVM classifier for identity identification. According to the method and theapparatus, the quality evaluation scores of the gait features and the face features are calculated, weighting is performed according to the quality scores, advantages of face identification and gait identification are combined, the two identification technologies are complemented, the robustness of an identification system is increased, and the accuracy of figure identity identification is improved.

Description

Technical field [0001] The invention relates to the technical field of biometric identification, in particular to an identity identification method and device based on the fusion of gait and human face. Background technique [0002] Biometric recognition technology is a technology that uses human biological characteristics for identity recognition. These biological characteristics include fingerprints, palm prints, iris, human faces, etc., which have been widely used in various security fields such as security, banking, customs border inspection, property management, etc., improving the accuracy of recognition and greatly reducing manpower and material resources , More and more favored by all walks of life. [0003] Face recognition is a non-contact biometric recognition that does not require the cooperation of human behavior. It is especially suitable for remote identification and can be used in intelligent video surveillance systems. With the current face recognition technology...

AI Technical Summary

Problems solved by technology

But when the target person is facing the camera, because the posture of the target person cannot be obtained well, the recognition effect is greatly reduced

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