Automatic Target Segmentation and Tracking in Intelligent Video Surveillance
Yang, Dehe1; Zhang, Yi2; Wang, Yaping1; Sung, WP; Chen, R
2014
关键词Gaussian distribution Mean shift dynamic tracking Shadow suppression
卷号496-500
DOI10.4028/www.scientific.net/AMM.496-500.2073
页码2073-+
英文摘要According to complex environmental identification for the problem of multi-target mobile and stationary state in a fixed scene, this paper provides a technology framework for the forthcoming coexisting multiple target detection and tracking, extracts video frame background map using the mean of multiple video sequences, makes edge detection of the background picture, judges the static target using positive and negative samples of the background image, and uses the Gaussian distribution of background difference to realize the extraction of foreground image. We utilizes the comprehension of non parametric statistical model and color model to eliminate the shadow of foreground image. After eliminating the shadow of the foreground image,we uses Mean Shift dynamic target tracking method to track the interesting objects. Experimental results show that it has strong robustness and stability for the influence of light slow change, occlusion and motion state.
会议录FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE IV, PTS 1-5
会议录出版者TRANS TECH PUBLICATIONS LTD
会议录出版地KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
语种英语
WOS研究方向Engineering ; Materials Science ; Mechanics
WOS记录号WOS:000339463201190
内容类型会议论文
源URL[http://ir.fio.com.cn/handle/2SI8HI0U/5169]  
专题自然资源部第一海洋研究所
作者单位1.China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Ding11 Xueyuan Rd, Beijing 100083, Peoples R China;
2.North China Sea Environm Monitoring Ctr, SOA, Qingdao 266033, Peoples R China
推荐引用方式
GB/T 7714
Yang, Dehe,Zhang, Yi,Wang, Yaping,et al. Automatic Target Segmentation and Tracking in Intelligent Video Surveillance[C]. 见:.
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