A face tracking method, device and terminal
A face tracking and tracking technology, applied in the field of face tracking, can solve the problems of large amount of calculation and low efficiency
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Embodiment 1
[0036] see figure 1 , figure 1 It is a schematic flowchart of a face tracking method provided by an embodiment of the present invention. Such as figure 1 As shown, the method includes:
[0037] 110. Acquire one or more human face images including human faces in a first video frame image in the video frame image sequence.
[0038] Wherein, the video frame image sequence includes several frame images, the first video frame image is one frame image in the video frame image sequence, and the frame image includes a human face. For example, assuming that the video frame image sequence includes 100 frame images, and a human face appears in the 50th frame image, then the first video frame image is the 50th frame image in the video frame image sequence.
[0039]Wherein, the human face image is the human face part detected in the first video frame image, a human face image only contains a human face, there are no other human faces, and the boundary of the human face image is almost ...
Embodiment 2
[0060] see Figure 4 , Figure 4 It is a schematic flowchart of an application scenario of a face tracking method provided by an embodiment of the present invention. When the face tracking method is applied to the suspect tracking system, such as Figure 4 As shown, the method includes:
[0061] 211. Acquire the first video frame image in the video frame image sequence;
[0062] 212. Obtain a face image in the first video frame image through the MTCNN algorithm;
[0063] 221. Extracting face feature vectors from face images through the FaceNet algorithm;
[0064] 222. According to the face feature vector, use the KNN algorithm to judge whether the face image matches the preset suspect face image;
[0065] 223. If it matches, use the face image as the face image to be tracked;
[0066] 224. Extracting the first sift feature value and the second hash feature value from the face image to be tracked;
[0067] 231. Continue to obtain the video frame image for protecting the ...
Embodiment 3
[0075] see Figure 5 , Figure 5 It is a schematic diagram of modules of a face tracking device provided by an embodiment of the present invention. The face tracking device 300 includes a first face detection module 310 , a face recognition module 320 , a second face detection module 330 , a similarity calculation module 340 , and a labeling module 350 .
[0076]Wherein, the first face detection module 310 is connected with the face recognition module 320, and the face recognition module 320 is connected with the similarity calculation module 340, and the second face detection module 330 is connected with the similarity calculation module 340, and the similarity calculation module 340 Connect with marking module 350 . The first human face detection module 310 is used to obtain one or more human face images containing human faces in a first video frame image in the video frame image sequence; the human face recognition module 320 is used to identify in the described human fac...
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