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

An identity recognition and face fusion technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of recognition effect discount, and achieve the effect of improving accuracy and increasing robustness

Inactive Publication Date: 2018-01-16
武汉神目信息技术有限公司
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But when the target person is facing the camera, because the posture of the...

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

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[0046] The principles and features of the present invention will be described below in conjunction with examples. The examples cited are only used to explain the present invention and are not used to limit the scope of the present invention.

[0047] figure 1 It is a flowchart of an identity recognition method based on gait and face fusion provided by an embodiment of the present invention. Such as figure 1 As shown, including the following steps:

[0048] S1: Collect a video stream, perform pedestrian detection and tracking on the video stream to obtain a human frame image sequence, and simultaneously perform face detection on the human frame image to obtain a face image sequence corresponding to the human frame image sequence;

[0049] S2: Perform gait feature extraction on the human body image in the human body frame image sequence, obtain quality evaluation parameters, and calculate the quality evaluation score of the gait feature according to the quality evaluation parameters; s...

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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...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 姚琪刘靖峰
Owner 武汉神目信息技术有限公司
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