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Condensed video generation system and method

A technology for generating systems and videos, applied in closed-circuit television systems, electrical components, selective content distribution, etc., can solve problems such as inability to fully represent motion trajectories, loss of useful video information, etc., and achieve fast browsing and high processing efficiency

Active Publication Date: 2015-12-23
桂林远望智能通信科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

However, traditional keyframe-based summary video generation methods using frame sampling cannot fully represent the motion trajectory of each object, resulting in the loss of a large amount of useful video information.

Method used

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  • Condensed video generation system and method
  • Condensed video generation system and method

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Embodiment 2

[0106] The trajectory of the moving object is obtained based on the detection, recognition and tracking of the moving object in the early stage. The moving object detection and recognition stage is a target detection and recognition after Gaussian background reconstruction and extraction of the moving target area. A classifier will identify a kind of object , followed by the trajectory combination optimization through improved simulated annealing, so that the energy of the entire trajectory of all objects is minimized, and finally the pedestrian summary and vehicle summary separated by people and cars will be obtained.

[0107]When selecting the background of the summary video in the traditional surveillance summary video, it is often to choose a Gaussian model built on the original video. However, in the actual surveillance video scene, the background of the original video changes. For example, if there is a stationary vehicle in the current video frame, the stationary object ...

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Abstract

The invention relates to a condensed video generation system and method. The system comprises a detection recognition tracking and extracting module, an optimizing and combining module, a video frame background module, a trajectory background pasting module, and a video condensing module. The detection recognition tracking and extracting module detects and recognizes the moving objects within a moving targeted area, tracks the detected and recognized moving objects and extracts the trajectories of the detected and recognized moving objects. The optimizing and combining module optimizes and combines the extracted moving trajectories of the moving objects. The video frame background module dynamically updates the video background of the moving targeted area. The trajectory background pasting module combines the moving objected with the updated video background in a matched pasting manner according to the combined and optimized moving trajectories in order to generate a condensed video frame. The video condensing module generates a condensed video according to the condensed video frame. In comparison with the prior art, the condensed video formed by the invention is shorter than an original video and most of information concerning the moving objects are still kept in the condensed video so that people can conveniently browse and the system and method are high in processing efficiency.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to a system and method for generating abstract videos. Background technique [0002] With the rapid development of surveillance technology and network technology, high-definition network surveillance cameras are widely used in various industries. These high-definition cameras work around the clock and generate massive amounts of surveillance video data. However, due to the limitations of monitoring human resources and time resources, some massive video data are often never processed. How to quickly and completely browse long-term surveillance video has become an urgent problem in the surveillance industry; summary video is an important means to solve "massive video data processing". However, traditional keyframe-based summary video generation methods cannot fully represent the motion trajectory of each object by frame sampling, resulting in the loss of a large amount of useful...

Claims

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Application Information

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IPC IPC(8): H04N7/18H04N21/8549
Inventor 蔡晓东陈超村王丽娟吕璐刘馨婷宋宗涛王迪甘凯今杨超赵勤鲁
Owner 桂林远望智能通信科技有限公司