Method for quickly and accurately detecting and tracking human face based on video sequence

A face detection and video sequence technology, applied in the field of pattern recognition, can solve the problem of face detection speed and other problems, and achieve the effect of fast calculation speed, accurate tracking and improved detection speed

Inactive Publication Date: 2011-10-12
云南清眸科技有限公司
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Problems solved by technology

[0012] The technical problems to be solved in the present invention are: 1) solve the face detection speed problem in each frame video image in the video sequence, promptly adopt the strategy that reduces detection area to improve the speed of face detection, make based on the face detection tracking of video sequence Real-time application becomes possible; 2) Solve the problem of face detection accuracy in each frame of video image in the video sequence, that is, perform face detection on the skin color area through the improved cascaded AdaBoost classifier, so that the face detection and tracking based on the video sequence 3) It solves the problem of fast face tracking in video sequences, that is, proposes an efficient Gaussian model strategy based on face region features to match and track detected faces, and completes the face tracking Real-time tracking of the sequence; 4) Solved the tracking problem of face crossing in the video sequence, that is, for the detected face, the face contour shape feature is established, and the matching judgment is only performed when the face area crosses in the video sequence, and the completion Face-based multi-person tracking in the same video sequence

Method used

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  • Method for quickly and accurately detecting and tracking human face based on video sequence
  • Method for quickly and accurately detecting and tracking human face based on video sequence
  • Method for quickly and accurately detecting and tracking human face based on video sequence

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Embodiment 1

[0041] figure 1 Shown is a schematic diagram of the processing process of the method of the present invention, the method of the present invention, for video stream data, first extracts the video frame image in the video stream data; and preprocesses the video frame image to obtain the area to be detected by the human face; Face detection is performed on the area to be detected to obtain the face area; if the face area is obtained, the features of the detected face need to be extracted, including the face area features and face shape features; the face is tracked according to the extracted features ; Finally, according to the face queue established by face tracking, the face image sequence of the same person is extracted, and the face detection and tracking based on the video sequence is completed.

Embodiment 2

[0043] figure 2 It is a flow chart of the present invention, namely a fast and accurate face detection and tracking method based on video sequences, and the specific flow chart is described as follows:

[0044] 1) For the video stream sequence, firstly extract each frame of video image for processing.

[0045] 2) Perform light compensation for the video frame image in advance, the specific method is to linearly adjust the image color histogram with the method of "reference white", so as to perform light compensation on the image, that is, to adjust the brightness of all pixels in the entire image from high to low Sorting, take the first 5% of the pixels, if the number of these pixels is large enough, take their brightness as "reference white", that is, adjust the R, G, and B component values ​​​​of their colors to the maximum 255, and the other pixels The linear adjustment formula is:

[0046] I i ...

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Abstract

The invention discloses a method for quickly and accurately detecting and tracking a human face based on a video sequence, which relates to the technical field of mode identification. The method comprises the following steps of: 1, extracting a video frame image from a video stream; 2, preprocessing the video frame image, namely compensating light rays, extracting skin color areas, performing morphological processing and combining the areas; 3, detecting the human face, namely representing the human face by using Harr-like characteristics and detecting the human face by using a cascaded Adaboost algorithm with an assistant decision function; 4, establishing the characteristics of the human face, namely detecting the area characteristics of the detected human face and the shape characteristics of the edge profile of the human face; 5, tracking the human face, particularly tracking the human face by using a human face area characteristic model when an intersection does not occur in a human face area, and further matching when the intersection occurs according to the shape characteristics of the edge profile of the human face; and 6, extracting the sequence of a human face image. By the technical method, the human face can be detected and tracked quickly and accurately on the basis of the video sequence.

Description

(1) Technical field [0001] The invention relates to the technical field of pattern recognition, and relates to a fast and accurate face detection and tracking method based on video sequences. (2) Background technology [0002] The problem of face detection originally originated from face recognition. The initial face research mainly focused on the field of face recognition, and the early face recognition algorithms were all carried out on the premise that a positive face had been obtained or that the face was easy to obtain. However, with the continuous expansion of the application range of face and the continuous improvement of the development of actual system requirements, the research under this assumption can no longer meet the needs. Face detection began to develop as an independent research content. [0003] Nowadays, the application background of face detection has gone far beyond the scope of face recognition system, and has important application value in content-b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/64
Inventor 刘辉
Owner 云南清眸科技有限公司
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