A method and system for taking screenshots of video foreground objects based on Gaussian mixture model
A Gaussian mixture model and foreground technology, applied in image data processing, image data processing, instruments, etc., can solve problems such as the influence of the accuracy of the foreground picture effect
Inactive Publication Date: 2016-12-21
台州市合正信息科技有限公司
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[0005] In addition, the current foreground and background separation technology based on the Gaussian mixture model is still insufficient in light and shadow processing, which has a great impact on the accuracy of foreground and background separation and the effect of the separated foreground picture
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[0054] The method and system of the present invention will be further described below in conjunction with the accompanying drawings. Specific processes such as background modeling, foreground and background separation, light and shadow filtering, and video interception are described in detail by way of examples.
[0055] The video foreground object screenshot method of the present invention is a video analysis screenshot method combined with multiple video analysis techniques, and its main analysis process flow is as follows: figure 1 shown.
[0056] The foreground / background separation process in this example is based on an automatically adaptive foreground object extraction algorithm, which improves the early Gaussian mixture background model (GMM), and uses a two-stage foreground / background classification method to eliminate shadows and abrupt objects. False separations caused by changes in illumination. Traditional background separation techniques are usually unable to c...
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The invention belongs to the field of video analyzing and processing technology, and discloses a method of visual front view article screenshot based on the gaussian mixture model. According to the method, firstly decoding a video to be screen-shoot, then setting up an initial gaussian mixture model of pixels of the video to be screen-shoot according to frames obtained through decoding of the video, setting up an initial background model based on the initial gaussian mixture model, then carrying out pixel proportioning on the frames and the background model one by one, judging whether the front view articles exist in the frames or not, simultaneously updating the background model, and storing the frames which contain the front view articles as a screenshot result. According to the method and the system of visual front view article screenshot based on the gaussian mixture model, aiming at analyzing and applying problems of monitoring on dynamic objects in the video, complete analysis framework is designed and realized. Operating planning which effectively uses human resources is combined, and manpower and time are saved, and accuracy is obtained.
Description
technical field [0001] The invention belongs to the technical field of video analysis and processing, and mainly relates to the processing of monitoring video, specifically a method for intercepting frames or short films containing dynamic objects from the monitoring video. Background technique [0002] With the continuous development of digital camera technology, video surveillance, as a security measure, is widely and widely used in daily and professional criminal investigation and other fields. While video surveillance brings irreplaceable guarantees for security and other aspects, the existing video surveillance system is too simple, and it is not easy to view video and other deficiencies are gradually reflected. [0003] With the current common monitoring system, when you need to check the monitoring video, you must manually check the entire video. In reality, in the camera monitoring area arranged by the general unit, no one passes by most of the time. As for emergenci...
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IPC IPC(8): G06T1/00
Inventor 郑连松
Owner 台州市合正信息科技有限公司