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Multi-angle multi-target fast human face tracking method used in video sequence

A video sequence, multi-angle technology, applied in the field of video processing, can solve problems such as difficult to achieve real-time video tracking

Inactive Publication Date: 2010-08-04
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

However, for multiple-angle face targets in video sequences, it is difficult to meet the real-time requirements of video tracking by only relying on AdaBoost detection and foreground prediction methods, and by using face classifiers from different angles to detect each frame in the video

Method used

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  • Multi-angle multi-target fast human face tracking method used in video sequence

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Embodiment Construction

[0022] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0023] Such as figure 1 As shown, this embodiment includes the following steps:

[0024] The first step, multi-angle face rapid detection: perform skin color segmentation on the frame to be detected, use the integral map to quickly eliminate non-skinned areas, perform face detection on skin-colored areas, use face classifiers from different angles to detect images, and fuse the final person Face detection area.

[0025] The second step, face tracking when there is no target occlusion: establish a color histogram for the face area, calculate the color probability map of the image to be detected, use the iterative ...

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Abstract

The invention provides a multi-angle multi-target fast human face tracking method used in a video sequence, which belongs to the technical field of video processing. Through multi-angle human face fast detection and color histogram establishment in a human face region, a color probability graph of an image to be detected is calculated, Camshift arithmetic iterating results are used for updating the human face region position and simultaneously upgrading a human face moving model established by a Kalman filter, and at the same time, the human face prediction is carried out when a target is shielded: when the human face is shielded, the human region position is predicted by the Kalman filter, and then, the human face moving model is updated. The invention can fast eliminate the non-human face region so that the real-time multi-angle multi human face target tacking becomes possible. At the same time, through the introduction of the Kalman filter, the invention can use the prediction results of the Kalman filter for updating the position of the shielded target when the target shielding occurs in the video sequence, and the tracking difficulty caused by shielding can be perfectly overcome.

Description

technical field [0001] The invention relates to a method in the technical field of video processing, in particular to a multi-angle and multi-target fast face tracking method for video sequences. Background technique [0002] Face detection and tracking technology in video sequences has broad application prospects. In the fields of national security, military security and public security, intelligent access control, intelligent video surveillance, public security control, customs identity verification, driver's license verification, etc. have a wide range of applications . [0003] After searching the prior art, it is found that the AdaBoost face detection method based on the cascade structure is currently considered to be an effective face detection scheme, such as Chinese Patent Document No. CN101350062A, published on 2009-1-21, which records a "Video-based fast face detection method", this technology uses the temporal and spatial domain features between video frames to p...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/20
Inventor 潘杰熊惠霖
Owner SHANGHAI JIAO TONG UNIV
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