目标跟踪相关研究综述
A Survey on Object Tracking
DOI: 10.12677/AIRR.2015.43003, PDF, HTML, XML,  被引量 下载: 3,281  浏览: 8,859 
作者: 徐佳龙*：海军驻南京地区航空军事代表室，江苏 南京
关键词: 目标跟踪；轨迹校正；目标检测；Object Tracking； Track Alignment； Object Detection
摘要: 目标跟踪就是在视频序列的每幅图像中找到所感兴趣的运动目标的位置，建立起运动目标在各幅图像中的联系。本文分类总结了目标跟踪的相关工作，并进行了分析和展望。
Abstract: Object tracking is a process to locate an interested object in a series of image, so as to reconstruct the moving object’s track. This paper presents a summary of related works and analyzes the characteristics of the algorithm. At last, some future directions are suggested.
文章引用：徐佳龙. 目标跟踪相关研究综述[J]. 人工智能与机器人研究, 2015, 4(3): 17-22. http://dx.doi.org/10.12677/AIRR.2015.43003

参考文献

[1] Yilmaz, A., Javed, O. and Shah, M. (2006) Object tracking: A survey. ACM Computing Surveys, 38, 1-45.
http://dx.doi.org/10.1145/1177352.1177355
[2] 陈宁强 (2010) 多目标跟踪方法研究综述. 科技信息, 21-26.
[3] 尹宏鹏 (2009) 基于计算机视觉的运动目标跟踪算法研究. 重庆大学博士论文, 重庆.
[4] Harris, C.G. and Stephens, M. (1988) A combined corner and edge detector. Proceedings of 4th Alvey Vision Conference, 189-192.
http://dx.doi.org/10.5244/c.2.23
[5] Lowe, D. (2004) Distinctive image features from scale-invariant key points. International Journal Computer Vision, 60, 91-110.
http://dx.doi.org/10.1023/B:VISI.0000029664.99615.94
[6] Mikolajczyk, K. and Schmid, C. (2002) An affine invariant interest point detector. European Conference on Computer Vision, 128-142.
[7] Lochner, M. and Trick, L. (2014) Multiple-object tracking while driving: The multiple-vehicle tracking task. Attention, Perception, & Psychophysics, 76, 2326-2345.
http://dx.doi.org/10.3758/s13414-014-0694-3
[8] Meyerhoff, H., Papenmeier, F. and Huff, M. (2013) Object-based integration of motion information during attentive tracking. Perception, 42, 119-121.
http://dx.doi.org/10.1068/p7273
[9] Chevalier, F., Dragicevic, P. and Franconeri, S. (2014) The not-so-staggering effect of staggered animated transitions on visual tracking. IEEE Transactions on Visualization and Computer Graphics, 20, 2241-2250.
http://dx.doi.org/10.1109/TVCG.2014.2346424
[10] Stauffer, C. and Grimson, W. (2000) Learning patterns of activity using real time tracking. IEEE Transaction Pattern Analysis and Machine Intelligence, 22, 747-767.
http://dx.doi.org/10.1109/34.868677
[11] Oliver, N., Rosario, B. and Pentland, A. (2000) A Bayesian computer vision system for modeling human interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 831-843.
http://dx.doi.org/10.1109/34.868684
[12] Feria, C. (2013) Speed has an effect on multiple-object tracking independently of the number of close encounters between targets and distractors. Attention, Perception, & Psychophysics, 75, 53-67.
http://dx.doi.org/10.3758/s13414-012-0369-x
[13] Monnet, A., Mittal, A., Paragios, N. and Ramesh, V. (2003) Background modeling and subtraction of dynamic scenes. Proceedings of the Ninth IEEE International Conference on Computer Vision, Nice, 13-16 October 2003, 1305-1312.
http://dx.doi.org/10.1109/ICCV.2003.1238641
[14] Lukavsky, J. (2013) Eye movements in repeated multiple object tracking. Journal of Vision, 13, 9-16.
http://dx.doi.org/10.1167/13.7.9
[15] Rowley, H., Baluja, S. and Kanade, T. (2014) Tracking by location and features: Object correspondence across spatiotemporal discontinuities during multiple object tracking. Journal of Experimental Psychology: Human Perception and Performance, 40, 159-171.
http://dx.doi.org/10.1037/a0033117
[16] Viola, P., Jones, M. and Snow, D. (2003) Detecting pedestrians using patterns of motion and appearance. Proceedings of the Ninth IEEE International Conference on Computer Vision, Nice, 13-16 October 2003, 734-741.
[17] Black, M. and Jepson, A. (1998) Eigen-tracking: Robust matching and tracking of articulated objects using a view- based representation. International Journal of Computation Vision, 26, 63-84.
http://dx.doi.org/10.1023/A:1007939232436
[18] Avidan, S. (2001) Support vector tracking. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kauai, 8-14 December 2001, 184-191.
[19] Rehman, A., Kihara, K., Matsumoto, A. and Ohtsuka, S. (2015) Attentive tracking of moving objects in real 3D space. Vision Research, 109, 1-10.
http://dx.doi.org/10.1016/j.visres.2015.02.004
[20] Franconeri, S., Jonathan, S. and Scimeca, J. (2010) Tracking multiple objects is limited only by object spacing, not speed, time, or capacity. Psychological Science, 21, 920-925.
http://dx.doi.org/10.1177/0956797610373935
[21] Zhang, S.L., Huang, Q.M., Jiang, S.Q., Gao, W. and Tian, Q. (2010) Affective visualization and retrieval for music video. IEEE Transactions on Multimedia, 12, 510-522.
http://dx.doi.org/10.1109/TMM.2010.2059634

为你推荐