Modeling background and segmenting moving objects from compressed video

doi:10.1109/TCSVT.2008.918800

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Modeling background and segmenting moving objects from compressed video
	Wang, Weiqiang 3,4; Yang, Jie 1; Gao, Wen 2
刊名	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	2008-05-01
卷号	18 期号:5 页码:670-681
关键词	background models discrete cosine transform (DCT) moving object segmentation video surveillance
ISSN号	1051-8215
DOI	10.1109/TCSVT.2008.918800
英文摘要	Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of modeling background and segmenting moving objects mainly operate in the spatial domain at pixel level. In this paper, we present three new algorithms (running average, median, mixture of Gaussians) modeling background directly from compressed video, and a two-stage segmentation approach based on the proposed background models. The proposed methods utilize discrete cosine transform (DCT) coefficients (including ac coefficients) at block level to represent background, and adapt the background by updating DCT coefficients. The proposed segmentation approach can extract foreground objects with pixel accuracy through a two-stage process. First a new background subtraction technique in the DCT domain is exploited to identify the block regions fully or partially occupied by foreground objects, and then pixels from these foreground blocks are further classified in the spatial domain. The experimental results show the proposed background modeling algorithms can achieve comparable accuracy to their counterparts in the spatial domain, and the associated segmentation scheme can visually generate good segmentation results with efficient computation. For instance, the computational cost of the proposed median and MoG algorithms are only 40.4% and 20.6 % of their counterparts in the spatial domain for background construction.
WOS研究方向	Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000257541800010
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/11343]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Weiqiang
作者单位	1.Carnegie Mellon Univ, Human Comp Interact Inst, Pittsburgh, PA 15213 USA 2.Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China 4.Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Wang, Weiqiang,Yang, Jie,Gao, Wen. Modeling background and segmenting moving objects from compressed video[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2008,18(5):670-681.
APA	Wang, Weiqiang,Yang, Jie,&Gao, Wen.(2008).Modeling background and segmenting moving objects from compressed video.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,18(5),670-681.
MLA	Wang, Weiqiang,et al."Modeling background and segmenting moving objects from compressed video".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 18.5(2008):670-681.