[1] B Lucas,T Kanade.An iterative image registration technique with an application to stereo vision[A].Proceedings of the 7th International Joint Conference on Artificial Intelligence (IJCAI)[C].Vancouver,Canada,1981.674-679. [2] M Isard,A Blake.CONDENSATION—Conditional density propagation for visual tracking[J].International Journal of Computer Vision (IJCV),1998,29(1):5-28. [3] 常发亮,马丽,刘增晓,乔谊正.复杂环境下基于自适应粒子滤波器的目标跟踪[J].电子学报,2006,34(12):2150-2153. CHANG Fa-liang,MA Li,LIU Zeng-xiao,QIAO Yi-zheng.Target tracking based on adaptive particle filter under complex background[J].Acta Electronica Sinica,2006,34(12):2150-2153.(in Chinese) [4] D Comaniciu,V Ramesh,P Meer.Kernel-based object tracking[J].IEEE Trans Pattern Analysis and Machine Intelligence,2003,25(5):564-5773. [5] 江淑红,汪沁,张建秋,胡波.基于目标中心距离加权和图像特征识别的跟踪算法[J].电子学报,2006,34(7):1175-1180. JIANG Shu-hong,WANG Qin,ZHANG Jian-qiu,HU Bo.An image tracking algorithm based on object center distance-weighting and image feature recognition[J].Acta Electronica Sinica.2006,34(7):1175-1180.(in Chinese) [6] 李培华.一种新颖的基于颜色信息的粒子滤波器跟踪算法[J].计算机学报,2009,32(12):2454-2463. Li Pei-Hua.A novel color based particle filter algorithm for object tracking[J].Chinese Journal of Computers,2009,32(12):2454-2463.(in Chinese) [7] A Yilmaz,O Javed,M Shah.Object tracking:A survey[J].ACM Computing Surveys,2006,38(4):13. [8] S Avidan.Ensemble tracking[J].IEEE Trans Pattern Analysis and Machine Intelligence,2007,29(2):261-271. [9] R Collins,Y Liu,M Leordeanu.Online selection of discriminative tracking features[J].IEEE Trans Pattern Analysis and Machine Intelligence,2005,27(10):1631-1643. [10] J Lim,D Ross,R Lin,M Yang.Incremental learning for visual tracking[A].Proceedings of Conference on Advances in Neural Information Processing Systems (NIPS)[C].Vancouver,Canada:the MIT Press,2004.793-800. [11] Q Yu,T Dinh,G Medioni.Online tracking and reacquisition using co-trained generative and discriminative trackers[J].Lecture Notes in Computer Science,2008,5303:678-691. [12] S Avidan.Support vector tracking[J].IEEE Trans Pattern Analysis and Machine Intelligence,2004,26(8):1064-1072. [13] DA Ross,J Lim,R Lin,M Yang.Incremental learning for robust visual tracking[J].International Journal of Computer Vision (IJCV),2008,77(1-3):125-141. [14] 温静,李洁,高新波.基于增量张量子空间学习的自适应目标跟踪[J].电子学报,2009,37(7):1618-1623. WEN Jing,LI Jie,GAO Xin-bo.Adaptive object tracking with incremental tensor subspace learning[J].Acta Electronica Sinica,2009,37(7):1618-1623.(in Chinese) [15] H Grabner,H Bischof.On-line boosting and vision[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].New York,USA,2006,1:260-267. [16] H Grabner,C Leistner,H Bischof.Semi-supervised on-line boosting for robust tracking[J].Lecture Notes in Computer Science,2008,5302:234-247. [17] S Stalder,H Grabner,L van Gool,E Zurich,K Leuven.Beyond semi-supervised tracking:tracking should be as simple as detection,but not simpler than recognition[A].Proceedings of 12th IEEE International Conference on Computer Vision Workshops (ICCV Workshops)[C].Kyoto,Japan,2009.1409-1416. [18] L Breiman.Random forests[J].Machine Learning,2001,45(1):5-32. [19] C Leistner,A Saffari,J Santner,H Bischof.Semi-supervised random forests[A].Proceedings of 12th IEEE International Conference on Computer Vision (ICCV)[C].Kyoto,Japan,2009.506-513. [20] C Leistner,A Saffari,H Bischof.MILForests:Multiple-Instance learning with randomized trees[A].Proceedings of 11th European Conference on Computer Vision (ECCV)[C].Crete,Greece,2010.29-42. [21] A Saffari,C Leistner,J Santner,M Godec,H Bischof.On-line random forests[A].Proceedings of 12th IEEE International Conference on Computer Vision Workshops (ICCV Workshops)[C].Kyoto,Japan,2009.1393-1400. [22] C Leistner,M Godec,A Saffari,H Bischof.On-line multi-view forests for tracking[J].Lecture Notes in Computer Science,2010,6376:493-502. [23] A Wang,G Wan,Z Cheng,S Li.An incremental extremely random forest classifier for online learning and tracking[A].Proceedings of 16th IEEE International Conference on Image Processing (ICIP)[C].Cairo,2009.1449-1452. [24] 王爱平,万国伟,程志全,李思昆.支持在线学习的增量式极端随机森林分类器[J].软件学报,2011,22(9):2059-2074. WANG Ai-Ping,WAN Guo-Wei,CHENG Zhi-Quan,LI Si-Kun.Incremental learning extremely random forest classifier for online learning[J].Journal of Software,2011,22(9):2059-2074.(in Chinese) [25] B Babenko,M-H.Yang,S Belongie.Visual tracking with online multiple instance learning[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].Miami,2009.983-990. [26] Z Kalal,J Matas,K Mikolajczyk.Online learning of robust object detectors during unstable tracking[A].Proceedings of 12th IEEE International Conference on Computer Vision Workshops (ICCV Workshops)[C].Kyoto,Japan,2009.1417-1424. [27] Z Kalal,J Matas,K Mikolajczyk.P-N learning:bootstrapping binary classifiers by structural constraints[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].San Francisco,2010.49-56. [28] M Ozuysal,P Fua,V Lepetit.Fast keypoint recognition in ten lines of code[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].Minneapolis,2007.1-8. [29] J Gall,V Lempitsky.Class-specific Hough forests for object detection[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].Miami,2009.1022-1029. [30] J Gall,N Razavi,L Van Gool.On-line adaption of class-specific codebooks for instance tracking[A].Proceedings of British Machine Vision Conference (BMVC)[C].Aberystwyth,2010.1-12. [31] A Yao,J Gall,L Van Gool.A Hough transform-based voting framework for action recognition[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].San Francisco,2010.2061-2068. [32] J Gall,A Yao,N Razavi,L van Gool,Victor Lempitsky.Hough forests for object detection,tracking,and action recognition[J].IEEE Trans Pattern Analysis and Machine Intelligence,2011,33(11):2188-2202. [33] D H Ballard.Generalizing the Hough transform to detect arbitrary shapes[J].Pattern Recognition,1981,13(2):111-122. [34] M Yang,Y Wu,G Hua.Context-aware visual tracking[J].IEEE Trans.Pattern Analysis and Machine Intelligence,2009,31(7):1195-1209. [35] H Grabner,J Matas,L V Gool,P Cattin.Tracking the invisible:Learning where the object might be[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].San Francisco,2010.1285-1292. [36] T B Dinh,N Vo,G Medioni.Context tracker:Exploring supporters and distracters in unconstrained environments[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].Providence,2011.1177-1184. [37] J L Fan,Y Wu,S Y Dai.Discriminative spatial attention for robust tracking[A].Proceedings of 11th European Conference on Computer Vision (ECCV)[C].Crete,Greece,2010.480-493. [38] M Godec,S Sternig,P M Roth,H Bischof.Context-driven clustering by multi-class classification in an active learning framework[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops)[C].San Francisco,2010.19-24. [39] B Stenger,T Woodley,R Cipolla.Learning to track with multiple observers[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].Miami,2009.1063-6919. [40] S Agarwal,A Awan,D Roth.Learning to detect objects in images via a sparse,part-based representation[J].IEEE Trans on Pattern Analysis and Machine Intelligence,2004,26(11):1475-1490. [41] A Adam,E Rivlin,I Shimshoni.Robust fragments-based tracking using the integral histogram[A].Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)[C].New York,USA,2006.798-805. |