Overview of target tracking technology
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摘要:本文回顾了视频目标跟踪方法中常用的目标表示方法,并对目标表示方法进行了系统地分类,对现有的目标跟踪方法进行了分类,并对每类中具有代表性的方法进行了详细描述,分析各类别的优缺点。讨论了目标跟踪的难点以及未来的发展趋势,为相关研究人员了解目标跟踪技术提供参考。Abstract:In this article, we review the favorite target representation in target tracking, and dassify them systematically, then categorize the target tracking methods used at present on the basis of the object and motion representations, provide detailed descriptions of representative methods in each category, and examine their pros and cons. Moreover, we discuss the difficulties and future trend of target tracking.
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Key words:
- target tracking/
- survey/
- SIFT/
- meanshift
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[1] ELGAMMAL A,DURAISWAMI R,HARWOOD D,et al.. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance[J].IEEE,2002,90(7):1151-1163. [2] AVIDAN S. Support vector tracking[J].IEEE Trans. Patt. Analy. Mach. Intell.,2004,26(8):1064-1072. [3] PARK S,AGGARWAL J K. A hierarchical bayesian network for event recognition of human actions and interactions. Multimed[J].Syst.,2004,10(2):164-179. [4] VEENMAN C,REINDERS M,BACKER E. Resolving motion correspondence for densely moving points[J].IEEE Trans. Patt. Analy. Mach. Intell.,2001,23(1):54-72. [5] SHAFIQUE K,SHAH M. A non-iterative greedy algorithm for multi-frame point correspondence[J].IEEE Trans. Patt. Analy. Mach. Intell.,2005,27(1):110-115. [6] COMANICIU D,RAMESH V,MEER P. Kernel-based object tracking[J].IEEE Trans.Patt. Analy. Mach. Intell.,2003,25:564-575. [7] BLACK M,JEPSON A. Eigentracking:robust matching and tracking of articulated objects using a view-based representation[J].Int. J. Comput. Vision,1998,26(1):63-84. [8] HARITAOGLU I,HARWOOD D,DAVIS L. W4:real-time surveillance of people and their activities[J].IEEE Trans. Patt. Analy. Mach. Intell.,2000,22(8):809-830. [9] 冯小勇,赵忠华,刘新明. 日间恒星实时探测的视频图像处理[J]. 中国光学,2011,4(6):622-628. FENG X Y,ZHAO ZH H,LIU X M. Video image processing of real-time star detection in daylight[J].Chinese J. Optics,2011,4(6):622-628.(in Chinese) [10] MORAVEC H. Visual mapping by a robot rover [C]. Proceedings of the International Joint Conference on Artificial Intelligence(IJCAI),San Francisco,USA,August 20,1979:598-600. [11] HARRIS C,STEPHENS M. A combined corner and edge detector [C]. In 4th Alvey Vision Conference,August 31-September 2,1988:147-151. [12] SHI J,TOMASI C. Good features to track [C]. IEEE Conference on Computer Vision and Pattern Recognition(CVPR),Seattle,WA,June 21-32,1994:593-600. [13] LOWE D. Distinctive image features from scale-invariant keypoints[J].Int. J. Comput. Vision,2004,60(2):91-110. [14] 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 J. Optics,2011,4(5):480-488.(in Chinese) [15] MIKOLAJCZYK K,SCHMID C. A performance evaluation of local descriptors[J].IEEE Trans. Patt. Analy. Mach. Intell.,2005,27(10):1615-1630. [16] WREN C,AZARBAYEJANI A,PENTLAND A. Pfinder:Real-time tracking of the human body[J].IEEE Trans. Patt. Analy. Mach. Intell.,1997,19(7):780-785. [17] GAO X,BOULT T,COETZEE F,et al.. Error analysis of background adaption [C]. IEEE Conference on Computer Vision and Pattern Recognition(CVPR),Hilton Head Island,SC,June 13-15,2000:503-510. [18] ELGAMMAL A,HARWOOD D,DAVIS L. Non-parametric model for background subtraction [C]. In European Conference on Computer Vision(ECCV),Dublin,Ireland,June 26-July 1,2000,2:751-767. [19] RITTSCHER J,KATO,JOGA S,et al.. A probabilistic background model for tracking [C]. In European Conference on Computer Vision(ECCV),Dublin,Ireland,June 26-July 1,2000,2:336-350. [20] STENGER B,RAMESH V,PARAGIOS N,et al.. Topology free hidden markov models:application to background modeling [C]. IEEE International Conference on Computer Vision(ICCV),Vancouver,BC,July 7-14,2001:294-301. [21] OLIVER N,ROSARIO B,PENTLAND A. A bayesian computer vision system for modeling human interactions[J].IEEE Trans. Patt. Analy. Mach. Intell.,2000,22(8):831-843. [22] MONNET A,MITTAL A,PARAGIOS N,et al.. Background modeling and subtraction of dynamic scenes [C]. IEEE International Conference on Computer Vision(ICCV),Nice,France,October 13-16,2003:1305-1312. [23] ZHONG J,SCLAROFF S. Segmenting foreground objects from a dynamic textured background via a robust kalman filter [C]. IEEE International Conference on Computer Vision(ICCV),Nice,France,October 13-16,2003:44-50. [24] COMANICIU D,MEER P. Mean shift:a robust approach toward feature space analysis[J].IEEE Trans. Patt. Analy. Mach. Intell.,2002,24(5):603-619. [25] ROWLEY H,BALUJA S,KANADE T. Neural network-based face detection[J].IEEE Trans. Patt. Analy. Mach. Intell.,1998,20(1):23-38. [26] VIOLA P,JONES M,SNOW D. Detecting pedestrians using patterns of motion and appearance [C]. IEEE International Conference on Computer Vision(ICCV),Nice,France,October 13-16,2003:734-741. [27] GREWE L,KAK A. Interactive learning of a multi-attribute hash table classifier for fast object recognition[J].Comput. Vision Image Understand,1995,61(3):387-416. [28] PAPAGEORGIOU C,OREN M,POGGIO T. A general framework for object detection [C]. IEEE International Conference on Computer Vision(ICCV),January 4-7,1998:555-562. [29] BLUM A,MITCHELL T. Combining labeled and unlabeled data with co-training [C]. 11th Annual Conference on Computational Learning Theory,July 24,1998:92-100. [30] LEVIN A,VIOLA P,FREUND Y. Unsupervised improvement of visual detectors using co-training [C]. IEEE International Conference on Computer Vision(ICCV),Nice,France,October 13-16,2003:626-633. [31] 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) [32] 匡金骏,柴毅,熊庆宇. 结合标准对冲与核函数稀疏分类的目标跟踪[J]. 光学 精密工程,2012,20(11):2540-2547. KUANG J J,CHAI Y,XIONG Q Y. Visual object tracking combined normal hedge and kernel sparse representation classification[J].Opt. Precision Eng.,2012,20(11):2540-2547.(in Chinese) [33] ISARD M,BLAKE A. Condensation-conditional density propagation for visual tracking[J].International J. Computer Vision,1998,29(1):5-28. [34] 王国良,刘金国. 基于粒子滤波的多自由度运动目标跟踪[J]. 光学 精密工程,2011,19(4):864-869. WANG G L,LIU J G. Moving object tracking with multi-degree-of-freedom based on particle filters[J].Opt. Precision Eng.,2011,19(4):864-869.(in Chinese) [35] 龚俊亮,何昕,魏仲慧,等. 采用改进辅助粒子滤波的红外多目标跟踪[J]. 光学 精密工程,2012,20(2):413-421. GONG J L,HE X,WEI ZH H,et al.. Multiple infrared target tracking using improved auxiliary particle filter[J].Opt. Precision Eng.,2012,20(2):413-421.(in Chinese) [36] LI B,CHELLAPPA R,ZHENG Q,et al.. Model-based temporal object verification using video[J].IEEE Trans. Image Process,2001,10(6):897-908. [37] MANSOURI A. Region tracking via level set pdes without motion computation[J].IEEE Trans. Patt.Analy. Mach. Intell.,2002,24(7):947-961. [38] YILMAZ A,LI X,SHAH M. Contour based object tracking with occlusion handling in video acquired using mobile cameras[J].IEEE Trans. Patt. Analy. Mach. Intell.,2004,26(11):1531-1536. [39] 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(6):827-831. QIU W T,ZHAO J,LIU J. Image matching algorithm combining SIFT with region segmentation[J].,2012(6):827-831.(in Chinese) [40] 王田,刘伟宁,韩广良,等. 基于改进MeanShift的目标跟踪算法[J]. 液晶与显示,2012(3):396-400. WANG T,LIU W N,HAN G L,et al.. Target tracking algorithm based on improved meanshift[J].,2012(3):396-400.(in Chinese) [41] 李丽,李平,杨明,等. 基于SIFT特征匹配的电力设备外观异常检测方法[J]. 光学与光电技术,2010,8(6):25-31. LI L,LI P,YANG M,et al.. Research on abnormal appearance detection approach of electric power equipment[J].Opt. Optoelectronic Technol.,2010,8(6):25-31.(in Chinese)
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