Synthesis method for extracting chassis image of vehicle based on monitoring video content
A technology for monitoring video and synthesizing methods, applied in image communication, components of color TVs, components of TV systems, etc., can solve the problems of interference, large amount of video data, easy to be affected by shooting quality, lighting and other problems
Inactive Publication Date: 2011-01-12
NANJING UNIV
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[0003] Traditional video surveillance mostly relies on manual intervention, and the content synthesis of surveillance video encounters difficulties in the following aspects: 1) Video content analysis is easily affected by shooting quality and lighting, and the target objects are not all located on the same imaging plane, so there are angles of view The interference of distortion factors; 2) The video content is relatively complex, and a single frame is often composed of multiple targets in the corresponding scene, and it is difficult to accurately segment and identify different targets; 3) The amount of video data is relatively large, and content extraction algorithms are difficult to implement to real-time, effective
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[0062] The basic starting point of the video content extraction method based on moving object synthesis is to convert the video into a grayscale image by taking frames at fixed time intervals. After a series of preprocessing operations on the image, a rectangular motion area is obtained, and then the improved w-SIFT matching is performed. The offset value of the y coordinate of the matching point is used for splicing operation, and the distortion of local matching is eliminated. After the matching area is spliced and fused, a complete image of the moving target can be obtained.
[0063] Below in conjunction with accompanying drawing, the present invention is explained in more detail:
[0064] Such as figure 1 shown. figure 1 Step 1 in is the initial action, inputting the monitoring video of the vehicle chassis.
[0065] Step 2 Sampling the video frame at a fixed time interval of 30ms; and converting each frame into a grayscale image using the following formula
[0066] gr...
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The invention provides a synthesis method for extracting chassis image of vehicle based on monitoring video content, mainly comprising the following steps of: converting frames into grayscale pictures and pre-processing; forming irregular polygons of moving regions; removing partial irregular polygons through the area; forming a rectangular bounding box; matching the w-SIFT algorithm; computing an average offset distance in the Y direction; performing stretching transformation in the X direction; and splicing the pictures and transiting smoothly. The invention has the beneficial effect of automatically converting a chassis monitoring video of the vehicle into a single static image comprising the full description of the vehicle through inputting the chassis monitoring video of the vehicle, wherein the image can be used for further image recognition. The method can save plenty of time cost for manually splicing the pictures and markedly improve the spliced effect; and the obtained result can intuitively reflect the important content the monitoring video expresses.
Description
technical field [0001] The invention relates to the field of vehicle moving image monitoring, in particular to a synthesis method for extracting vehicle chassis images based on monitoring video content. Background technique [0002] In recent years, video has been widely used in digital entertainment, e-commerce, security monitoring, advertising and many other fields, and will develop rapidly with the further popularization of wireless networks and smart mobile terminals. Correspondingly, various algorithms based on video feature extraction, key frame extraction, video summarization, video content analysis and understanding have gradually become research hotspots in the intersection of multimedia technology, computer vision and pattern recognition. [0003] Traditional video surveillance mostly relies on manual intervention, and the content synthesis of surveillance video encounters difficulties in the following aspects: 1) Video content analysis is easily affected by shooti...
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IPC IPC(8): H04N7/18H04N5/262G06K9/00
Inventor 路通巫义锐王利民田智源孙再亮
Owner NANJING UNIV