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Face tracking method based on classification and identification

A technology of classification and recognition, face sequence, applied in the field of face tracking, which can solve the problems of affecting the system burden and processing speed, large amount of calculation, and system blockage.

Active Publication Date: 2009-10-28
GUANGZHOU NEWTEMPO TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A disadvantage of this is that every face that appears in each frame has to be compared with the database template once, and the calculation of the comparison part is relatively large, especially when the number of target templates is large, the comparison part The overhead will directly affect the burden and processing speed of the system, making the system hindered in practical applications

Method used

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  • Face tracking method based on classification and identification
  • Face tracking method based on classification and identification
  • Face tracking method based on classification and identification

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Embodiment

[0036] The present invention is based on the face tracking method of classification recognition, and the algorithm flow of its implementation process is as follows figure 1 As shown, the implementation steps are as follows:

[0037](1) Establish a basic face tracking system based on the CAMShift algorithm. For details, see "Gary R. Bradski, 'Computer Vision Face Tracking For Use in a Perceptual User Interface', Intel Technology Journal Q2'98".

[0038] (2) The face sequence tracked from the current frame {F 1 C , F 2 C ...F i C} to intercept the tracked face image, adjust the tracked face image in each frame to make it the same size, and save it to the face sequence to be matched{F 1 C , F 2 C ...F j C}; the face sequence to be matched saved in the previous frame is {F 1 L , F 2 L ...F j L}, the corresponding timer is {C 1 , C 2 ...C j} (The timer is used to record the number of frames that the face target does not appear in a row. When the target appears, ...

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Abstract

The invention provides a face tracking method with classification and identification functions, which comprises the following steps: 1. a sequence to be matched of a current frame is F1, F2; a sequence to be matched of a front frame is F1,F2to Fj; 2. Fm of the current frame is taken out in sequence, and an LBP code pattern is calculated; 3. the obtained LBP code pattern is compared with an LBP code pattern of the front frame so that Fn which has the maximal matching degree with the Fm is found out; 4. whether a person is the same person or not is judged according to the matching degree and the central position distance relation; if so, face images of the same of the person are classified into the same type, if not, Fj+1 equal to Fm is added in the FL sequence; 5. the step 2 to the step 4 are repeated until the matching sequence of the current frame is traversed; and 6. the step 1 is back, and the next frame is processed. The invention adopts LBP characteristics with a rotary uniform mode to classify and identify the identity of a person, classifies the same person into one kind, solves the problem that information is lost after the person is sheltered in the traditional face tracking method, expands the function of a face tracking system and improves the application value thereof.

Description

technical field [0001] The invention relates to a method for human face tracking, in particular to a method for human face tracking in video. Background technique [0002] Face tracking technology has a wide range of practical applications in security monitoring, identification, virtual games, etc. However, the traditional face tracking methods still have some performance and functional deficiencies in practical applications. Especially for the situation where the same face appears intermittently (such as being blocked by obstacles or other faces for a few frames), due to the loss of intermediate tracking information, the color-based tracking method will not be able to distinguish when the same person appears again and re-detect it. Whether the face is the same person as the face lost in previous tracking. [0003] In addition, in the application of real-time video security monitoring, the general practice is to compare all the face images tracked in each frame with all ta...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/48
Inventor 赖剑煌黎立宏黄剑
Owner GUANGZHOU NEWTEMPO TECH
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