Volume 6 Issue 2
Apr.  2013
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YAN Hui, XU Ting-fa, WU Qing-qing, XU Lei, WU Wei. Multi-object tracking based on multi-feature joint matching[J]. Chinese Optics, 2013, 6(2): 163-170. doi: 10.3788/CO.20130602.0163
Citation: YAN Hui, XU Ting-fa, WU Qing-qing, XU Lei, WU Wei. Multi-object tracking based on multi-feature joint matching[J]. Chinese Optics, 2013, 6(2): 163-170. doi: 10.3788/CO.20130602.0163

Multi-object tracking based on multi-feature joint matching

doi: 10.3788/CO.20130602.0163
  • Received Date: 2012-11-17
  • Rev Recd Date: 2013-01-13
  • Publish Date: 2013-04-10
  • In order to solve the occlusion problem in multi-object tracking for the complex background of a video image, an approach for the multi-object tracking based on multi-feature joint matching is presented. First, the adaptive Gaussian mixture background model is used for reconstructing and updating the background to achieve the background subtraction of current frame and multi-object detection. Then, the joint matching tracking is developed based on matching color characteristics, positions and objects velocities. Finally, the objects in the scene are divided into entering, exiting, temporarily disappear of the object, the re-emergence of the object and the merge and split of the object, and the predicted position and the occlusion factor of the object are used to improve the accuracy of multi-feature joint matching. Experimental results indicate that the similarities of the same object and the different objects are 0.949 71 and 0.505 73 respectively in the tracking with the proposed approach, which is better than that of matching with the color characteristics. Furthermore, the similarity of object is 0.972 83 after occlusion. The approach is satisfactory for real-time tracking of multi-object with appearance similarity in a complex environment.
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  • [1] 顾鑫,王海涛,汪凌峰,等.基于不确定性度量的多特征融合跟踪[J].自动化学报,2011,37(5):550-559. GU X,WANG H T,WANG L F,et al.. Fusing multiple features for object tracking based on uncertainty measurement[J]. Acta Automatica Sinica,2011,37(5):550-559.(in Chinese) [2] 李安平.复杂环境下的视频目标跟踪算法研究[D].上海:上海交通大学,2006. LI A P. Research oil tracking algorithm for visual target under complex environments[D]. Shanghai:Shanghai Jiaotong University,2006.(in Chinese) [3] 郝志成,高文.多模跟踪技术在轮式侦察车图像处理器的应用[J].中国光学,2011,4(5):480-488. HAO ZH CH,GAO W. Application of multi-pattarn tracking technique in image processor of wheel type scout car[J]. Chinese Optics,2011,4(5):480-488.(in Chinese) [4] HARINI V,PAUL S,NIKOS P. Robust target detection and tracking through integration of motion, color, and geometry[J]. Computer Vision and Image Understanding,2006,103(2006):121-138. [5] 颜佳,吴敏渊.遮挡环境下采用在线Boosting的目标跟踪[J].光学 精密工程,2012,20(2):439-446. YAN J,WU M Y. On-line boosting based target tracking under occlusion[J]. Opt. Precision Eng.,2012,20(2):439-446.(in Chinese) [6] 胡江龙,方景龙,王大全.多目标跟踪算法在水质监测中的应用[J].机电工程,2012,39(5):613-615. HU J L,FANG J L,WANG D Q. Water quality monitoring using multi-object tracking algorithm[J]. J. Mechanical Electrical Eng.,2012,39(5):613-615.(in Chinese) [7] 王坤峰,李镇江,汤淑明.基于多特征融合的视频交通数据采集方法[J].自动化学报,2011,37(3):322-330. WANG K F,LI ZH J,TANG SH M. Visual traffic data collection approach based on multi-features fusion[J]. Acta Automatica Sinica,2011,37(3):322-330.(in Chinese) [8] 丘文涛,赵建,刘杰.结合区域分割的SIFT图像匹配方法[J].液晶与显示,2012,20(2):439-446. QIU W T,ZHAO J,LIU J. Image matching algorithm combining SIFT with region segmentation[J]. Chinese J. Liquid Crystals and Displays,2012,20(2):439-446.(in Chinese) [9] STAUFFER C,GRIMSON W. Learning patterns of activity using real-time tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(8):747-757. [10] NUMMIAFO K,KOLLER-MEIER E,GOOL L V. Color features for tracking non-rigid objects[J]. Acta Automatics Sinica,2003,29(3):345-355. [11] VIGNON D,LOVELL B C,ANDREWS R J. General purpose real-time object tracking using Hausdorff transforms[C]//9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems,Annency,France,July 1-6,2002:1-6. [12] GARQI P. Robust multiple target tracking under occlusion using fragmented mean shift and Kalman filter[C]//2011 Internation Conference on Communications and Signal Processing(ICCSP),Kerala,India,Feb 10-12,2011:5171521. [13] PAPADAKIS N,BYGEAU A. Tracking with occlusions via graph cuts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(1):144- 157.
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