Method for reliably generating video abstraction in complex scene

A technology for video summarization and complex scenes, applied in the field of image processing to ensure reliability and shorten time-consuming effects

Inactive Publication Date: 2013-11-27
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0005] Video summarization technology is of great significance and has broad market prospects for the effective use of massive surveillance videos. However, the existing video summarization technology cannot effectively solve the problems of weak and small targets in complex scenes, and the mutual occlusion and adhesion of targets. In order to q

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  • Method for reliably generating video abstraction in complex scene
  • Method for reliably generating video abstraction in complex scene
  • Method for reliably generating video abstraction in complex scene

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[0031] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0032] The present invention proposes a reliable video summary generation method in complex scenes, and the content of the method is as follows:

[0033] First, perform background modeling on the original video image sequence to obtain moving foreground blocks, and perform foreground post-processing on them; secondly, use a series of offline trained target detectors to detect and classify moving foreground blocks; Third, a multi-target tracking method based on the Hungarian algorithm is constructed; finally, a motion trajectory is generated for each moving target, and the moving target and its motion trajectory are merged into an image. The present invention calls the merged image a "video snapshot". It is worth pointing ...

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Abstract

The invention discloses a method for reliably generating video abstraction in a complex scene. The method comprises the following steps: performing background modeling on an acquired video to obtain the moving foreground of a current frame in a video sequence; selecting a proper target detector for performing target classification and detection on the moving foreground of the current frame by using prediction information; calculating the movement locus of a moving target in the current frame by using a multi-target tracking method according to the acquired type and detection result of the moving target, and calculating the prediction information of a next frame; detecting a next frame till the end of the video sequence; generating video abstraction according to information such as the movement loci, types and the like of all moving targets. According to the method, a mutual feedback mechanism is introduced into foreground detection and tracking processes, so that the omission ratio of weak targets, the false drop rate of dense shielded targets, and the fault tracking probability, miss tracking probability and incomplete probability of the loci of moving target can be reduced effectively; the method can be applied to various complex scenes.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for generating reliable video summaries in complex scenes. Background technique [0002] In modern society, video surveillance systems are playing an increasingly important role in all walks of life. Departments such as public security, fire protection, transportation, and industrial production have particularly urgent needs for video surveillance in public places. Video surveillance systems have become an important part of maintaining social order. , strengthening social management and an important part of safe production. The number of surveillance cameras is increasing rapidly, and a large amount of surveillance video data is generated every day, which leads to a large amount of manpower, material resources and time spent on finding clues through surveillance videos, and reduces the effective utilization of surveillance videos. According to the statistics of...

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Application Information

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IPC IPC(8): G06T7/20
Inventor 郝红卫袁飞唐矗田澍冯媛
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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