Video portrait tracking method based on human face identification in complex scenario

A face recognition, complex scene technology, applied in the field of video portrait tracking based on face recognition, can solve the problems of insufficient use of video information, easy to cause false positives, poor performance, etc., to avoid face trajectory confusion and false positives , the effect of increasing the processing speed

Active Publication Date: 2015-11-18
SHANGHAI YITU INFORMATION TECH CO LTD
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Problems solved by technology

[0005] The above scheme has a better effect when targeting simple scenes (clear faces, mainly frontal faces, no occlusion), but the above scheme does not make full use of video information. For

Method used

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[0041] The present invention will be described in detail below in conjunction with specific embodiments. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation mode and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0042] This embodiment provides a video portrait tracking method based on face recognition in a complex scene. The input of the method is a portrait video, and the output is a number of face trajectories. Each face trajectory contains all the frame numbers and correspondences of the face. The position of the face in the frame. The specific steps of the method are as follows:

[0043] 1) Decoding the acquired video data to obtain a series of video frame images.

[0044] 2) Use face detection and object tracking methods to process a series of obtained video frame images to obtain all possible face trajectories {Gi...

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Abstract

The invention relates to a video portrait tracking method based on human face identification in a complex scenario. The method comprises the steps that 1) acquired video data are decoded to acquire a series of video frame images; 2) human face detection and object tracking methods are used to process a series of acquired video frame images to acquire all possible human face trajectories; 3) the similarity between each human face trajectory acquired in step 2) and a subsequent human face approaching trajectory is determined, and human face trajectories with the similarity higher than a set threshold are merged; and 4) a merged human face trajectory is output. Compared with the prior art, the method provided by the invention has the advantages of fast processing speed, high detection precision, low false alarm rate and the like. The problems of human face trajectory disruption and confusion, which are caused by human head turning and blocking, can be solved.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a video portrait tracking method based on face recognition in complex scenes. Background technique [0002] Face tracking is the process of determining the trajectory and size changes of a certain face in a video or image sequence. For a long time, face tracking has been of great significance in the fields of image analysis and recognition, image monitoring and retrieval, such as video MMS in mobile phone MMS, man-machine interface, authority control, intelligent monitoring system, etc. The accuracy, precision and recklessness of tracking The stickiness problem has always been the main concern of the industry, and many effective algorithms have appeared one after another. The current mainstream video portrait tracking algorithms mainly include the following: [0003] a) Method based on face detection: Face detection is performed on each frame image in the video, and th...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/20G06F18/00
Inventor 张至先
Owner SHANGHAI YITU INFORMATION TECH CO LTD
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