[1]LIU Qing,WU Zhi-gang,DOU Qin,et al.A particle filtering algorithm for tracking moving objects in videos[J].CAAI Transactions on Intelligent Systems,2009,4(6):538-543.[doi:10.3969/j.issn.1673-4785.2009.06.012]
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A particle filtering algorithm for tracking moving objects in videos

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 6 Page number: 538-543 Column: 学术论文—机器感知与模式识别 Public date: 2009-12-25
Title:
A particle filtering algorithm for tracking moving objects in videos
Author(s):
LIU Qing;  WU Zhi-gang;  DOU Qin;  XIONG Yan
School of Automation, Wuhan University of Technology, Wuhan 430063, China
Keywords:
object tracking;  particle filter;  integral image;  foreground segmentation;  video
CLC:
TP18；TP391.4
DOI:
10.3969/j.issn.1673-4785.2009.06.012
Abstract:
Tracking moving objects across video sequences is a key subject in computer vision and image processing. It is required for fields as diverse as video surveillance, robotic vision, navigation, and intelligent traffic control. After studying particle filter technology, a moving object tracking algorithm based on a particle filter was developed, integrating foreground information, color features and an integral image method. Gaussian mixture models (GMM) were employed for object foreground segmentation. By using an integral histogram algorithm, data for the color features in different sections were derived. Based on the feature’s integral histogram, occlusion could then be analyzed and judged. The method presented can resolve occlusion caused by objects appearing among obstacles or with other objects, and to some extent overcome problems caused by changes in illumination, background and apparent size. Experimental results when tracking moving objects agreed well with predicted results.
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