Video abstraction method and system based on moving target detection

Abstract

The invention relates to a video abstraction method based on moving target detection, and the method comprises the following steps of: carrying out moving target detection and analysis processing on an initial image sequence frame so as to obtain visual feature information of a moving object in each frame of an original video, carrying out target tracking and merging processing between frames and extracting index information of each moving target of the original video; reordering each moving target in time and space, and generating an abstract video by fusing background images, and recording the index information of each moving target in the abstract video; and establishing index correlation for moving targets of each frame of the abstract video and the moving targets of the original video. The invention further discloses a video abstraction device based on moving target detection. The target tracking synthesis method provided by the invention is simple and effective, and can be used for achieving fast and accurate abstraction and concentration of a surveillance video; and the use of index allows freely convenient browsing of the original video clip to which the moving objects occur during playing. The video abstraction method and system based on moving target detection can be used for generating an abstract video at a fast speed, are high in accuracy, and are easily used.

Description

technical field [0001] The invention relates to the field of surveillance video summarization and enrichment, in particular to a video summarization method and system based on moving target detection. Background technique [0002] At present, with the development of economy and information technology, people's demand for security protection is getting higher and higher. As an effective means in the field of security protection, video surveillance has a wider and wider range of applications, and the application requirements are also increasing. [0003] In daily applications, video surveillance video has the characteristics of large amount of stored data and long storage time. Through the video, we can understand meaningful information such as pedestrians and vehicles that appear in a certain period of time, especially when the public security system is searching for clues and obtaining evidence. The traditional method will consume a lot of manpower, material resources and ti...

AI Technical Summary

Problems solved by technology

[0003] In daily applications, video surveillance video has the characteristics of large amount of stored data and long storage time. Through the video, we can understand meaningful information such as pedestrians and vehicles that appear in a certain period of time, especially when the public security system is looking for clues and obtaining evidence. The traditional method will consume a lot of manpower, material resources and time, and the efficiency is extremely low, so that the best time to solve the case will be missed

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