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Video stream based face tracking identification method

A recognition method and video stream technology, applied in the field of face tracking and recognition based on video stream, can solve the problem of inability to adapt to the high-speed motion tracking of targets in the video stream, and achieve the improvement of face detectability, real-time tracking and recognition, and tracking effect. Variation improvement effect

Inactive Publication Date: 2018-09-07
SUWEN ELECTRIC ENERGY TECH
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Problems solved by technology

However, the camshift algorithm needs to manually select the initial tracking window, which cannot adapt to the high-speed movement of the target in the video stream, target occlusion and tracking under complex backgrounds.

Method used

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  • Video stream based face tracking identification method
  • Video stream based face tracking identification method
  • Video stream based face tracking identification method

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Embodiment Construction

[0041] Such as Figure 1-6 Shown, the present invention discloses a kind of face tracking recognition method based on video flow, comprises the following steps:

[0042] Step a: Obtain video samples, and perform preprocessing on continuous frame images in the video;

[0043] Step b: use the face detection module to locate the face position in the preprocessed frame image, and use the face position as the initial tracking window for face tracking;

[0044] Step c: The face tracking module uses the tracking algorithm to track the face through the initial tracking window of the face tracking, and obtains the head portrait of the face;

[0045] Step d: The recognition module recognizes the face portrait obtained in step c, and then performs feature extraction and enters into the face feature database;

[0046] Step e: The recognition module matches the features extracted in step d with the features in the face feature database, thereby identifying the face.

[0047] Wherein, in...

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Abstract

The invention relates to a video stream based face tracking identification method and belongs to the technical field of mode identification. A video sample is obtained, and continuous frame images ina video are processed; a face detection module locates a face position in the preprocessed frame image and takes the face position as an initial tracking window of face tracking; and an Adaboost algorithm is combined with a camshift algorithm in a tracking algorithm, a morphological method, a target state prediction method and an interframe difference method are used, and the problem that the traditional camshift algorithm is not suitable for complex conditions including high speed target movement, complex background and shielding due to the initial tracking window needs to be selected manneris solved. An improved face identification algorithm in which a weighted average face is combined with a 2D major constituent analysis characteristic space is used to reduce difference of face characteristic within the type, and improve the accuracy of face identification.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a method for face tracking and recognition based on video streams. Background technique [0002] A human face contains a lot of complex detailed information. By observing the human face, we can intuitively understand a lot of object information. With the vigorous development of biometric technology, face tracking and recognition has gradually become an effective and safe means of biometric authentication. At present, it has been widely used in national public security, judicial field, human-computer interaction, radio and television industry, etc., and has broad application prospects. [0003] At present, most mainstream recognition systems use static images as the input elements for recognition, and dynamic face recognition in video streams is still an important research topic. However, in practice, uncertain events such as different scenes in which the face is loc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06V40/168G06V40/172G06V20/41G06F18/2148
Inventor 李瑛莉韩贤斌户艳琴袁文浩郭晓昌蒋超唐卫星毕建宇
Owner SUWEN ELECTRIC ENERGY TECH
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