A method for video motion shadow elimination
A shadow elimination and video technology, applied in image enhancement, image analysis, instruments, etc., can solve problems such as difficult real-time performance, slow running speed, false detection of moving objects as shadows, etc., to reduce the proportion of foreground false detections as shadows , Eliminate shadows and meet real-time requirements
Inactive Publication Date: 2019-12-24
HUBEI UNIV OF TECH
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Problems solved by technology
However, the problem with this patented technical solution is that although the running speed is improved, the problem that the moving object is misdetected as a shadow in the HSV space shadow detection has not been well resolved, and some areas in the moving object are regarded as shadows was eliminated
However, the problem with this patented technical solution is that although shadows and moving objects can be separated more accurately, the use of multi-dimensional clustering technology will reduce the running speed, and the real-time performance is difficult to meet
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[0045] The above-mentioned content of the present invention will be described in further detail below through the embodiment form, but this should not be interpreted as the scope of the above-mentioned theme of the present invention is limited to the following embodiments, all technologies realized based on the above-mentioned content of the present invention belong to this invention the scope of the invention.
[0046] Such as figure 1 As shown, a method for removing video motion shadows provided by an embodiment of the present invention includes the following steps:
[0047] 101: For the read video frame (such as figure 2 ) uses the adaptive Gaussian mixture background modeling method to establish the background, extract the foreground, and remove the noise through morphological operations, such as image 3 shown.
[0048] Foreground extraction:
[0049] Using mixed Gaussian background modeling to extract moving targets, it uses K Gaussian distributions to model each pi...
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The invention discloses a method for eliminating moving shadows in videos. The foreground extracted through traditional mixed Gaussian background modeling uses HSV color space transformation to determine parameters that can completely remove the shadows of moving targets in the video, and then the extracted foregrounds are separately Partial moving targets are extracted through the LBP operator and Otsu threshold (OTSU). The complete moving targets can be obtained by adding the two. Finally, they are added again to the moving targets extracted by the previous HSV to achieve the effect of eliminating shadows. This method is applied to videos with shadows in different environments. The experimental results show that the method of the present invention only needs to determine the same parameter for shadow elimination in different environments, and can accurately extract moving targets, with applicability and robustness. better.
Description
technical field [0001] The invention belongs to the technical field of video digital image analysis and shadow detection, and in particular relates to a video motion shadow elimination method. Background technique [0002] Moving target detection plays a fundamental role in video analysis, and the accuracy of target detection is closely related to subsequent moving target tracking, target recognition, and behavior analysis. With the continuous development of the economy and society and the continuous upgrading of computer performance, the processing of intelligent video will become more and more popular, and the requirements for extracting moving objects in the video are also getting higher and higher, and the elimination of shadows is very important. [0003] Effective removal of moving shadows can improve the performance of moving target detection in video analysis, and play a vital role in the identification and behavior analysis of moving targets in video surveillance sy...
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IPC IPC(8): G06T5/00
CPCG06T2207/10016G06T5/80
Inventor 周尚丽吴敏武明虎宋冉冉刘聪刘敏赵楠孔祥斌万相奎饶哲恒李想徐偲达
Owner HUBEI UNIV OF TECH