Computer Science ›› 2016, Vol. 43 ›› Issue (11): 297-299, 312.doi: 10.11896/j.issn.1002-137X.2016.11.057

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Research of Video Abstraction Based on Object Detection and Tracking

TIAN Helei, DING Sheng, YU Changwei and ZHOU Li   

  • Online:2018-12-01 Published:2018-12-01

Abstract: ion Based on Object Detection and Tracking TIAN He-lei1 DING Sheng2 YU Chang-wei1 ZHOU Li2 (School of Instrument Science and Opto-electronics Engineering,Hefei University of Technology,Hefei 230009,China)1 (School of Computer and Information,Hefei University of Technology,Hefei 230009,China)2 Abstract In order to carry out a summary of massive surveillance video under the premise of not losing useful information,a video summarization technique based on object detection and tracking was proposed.Moving targets is detected by background subtraction in video by using Gaussian mixture model,and target tracking for detected target is done by using the idea of hierarchical correlation to get complete information of moving targets.Finally,the moving objects and video background are reassembled into the abstract video.The experimental results show that the method proposed in this paper can be used to concentrate the monitoring video.The summary of the video can completely preserve the original video,which reduces the storage space and cost.It is also convenient for relevant personnel to obtain useful information in time and improve work efficiency.

Key words: Video abstraction,Video condensation,Object detection,Object tracking,Background modeling,Hierarchical correlation

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