Dynamic capture analysis algorithm based on video images

Abstract

The invention discloses a dynamic capture analysis algorithm based on a video image, relates to the technical field of video image dynamic capture analysis, solves the technical problem of low capture efficiency caused by incapability of accurately judging action comparison of a corresponding main body during dynamic capture in the prior art, and judges whether the quality of a real-time video image is qualified or not. Therefore, the qualification of dynamic capture can be ensured, and the working efficiency of dynamic capture is improved; registration is carried out on areas with the same feature, so that the working intensity of video image analysis can be reduced, and meanwhile, unnecessary cost increase and risk of dynamic analysis error increase caused by repeated analysis of the same feature can be prevented; whether the picture of the current frame is in a static state or not is judged, the static part is optimized, the resolution of the static part is reduced, the working intensity of dynamic capture is reduced, and the working efficiency of video image dynamic capture is improved; and analyzing the internal dynamic action of the real-time video image, and judging whether the current dynamic action is normal or not.

Description

technical field [0001] The invention relates to the technical field of video image dynamic capture analysis, in particular to a video image-based dynamic capture analysis algorithm. Background technique [0002] As we all know, humans acquire, process and understand visual information through eyes and brains. Image visual information is one of the main sources for humans to obtain information from the objective world. A video image is actually a combination of a series of connected static images. It is a vivid description of objective things and an intuitive and specific form of information expression. After entering the 1990s, with the rapid development of computer network, communication and microelectronics technology, video surveillance has received increasing attention and research due to its intuitive, convenient and rich information content. The continuous improvement of personal and property safety requirements has promoted people's demand for monitoring systems. In...

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Problems solved by technology

[0003] However, in the prior art, when the video image is dynamically captured, the input cost of the video image analysis cannot be reduced through reasonable processing, resulting in unnecessary waste of cost; at the same time, the image cannot be qualified for planning, resulting in the dynamic capture process. The storage and transmission of images require high cost; in addition, the motion comparison of the corresponding subject cannot be accurately determined during dynamic capture, and the efficiency of dynamic capture is low

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