Human face detecting and tracking method based on deep learning
A technology of face detection and deep learning, applied in the field of face detection and tracking based on deep learning, can solve problems such as information distortion and incorrect face comparison, achieve high information content and reduce repeated reporting
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[0035] The following is a detailed description in conjunction with the embodiments of the drawings:
[0036] 1. Method
[0037] Such as figure 1 , This method includes the following steps:
[0038] ①Face detection-101
[0039] Perform the face detection task of the frame of image data, and form a queue output for the detected target information, including the face rectangle, the face category and the face feature points;
[0040] ②Face tracking-102
[0041] Match and update the result queue obtained from face detection to complete the task of face tracking;
[0042] ③Face judgment -103
[0043] The latest tracked face in the tracking list is judged as a positive face, and if certain conditions are met, it can be output as a detected high-quality face.
[0044] The following describes the specific implementation process of each module:
[0045] 1. The process of step ①
[0046] Such as figure 2 , The process of step ① is as follows:
[0047] A. Use offline trained P-net model for detection-201...
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