[1] |
Li Jianfu,Wang Yang. Pedestrian Tracking in Infrared Image Sequences using Wavelet Entropy Features[C].IEEE Second Asia-Pacific Conference on Computational Intelligence and Industrial Applications, Wuhan, 2009 |
[2] |
van Koller N. An Adaptive Color-Based Particle Filter[J].Image and Vision Computing, 2012, 21(1):99-110 |
[3] |
Vignon D, Lovell B C, Andrews R J. General Purpose Real-Time Object Tracking Using Hausdorff Transforms[C]. The 9th International Conference on IPMU, Annency, France, 2012 |
[4] |
Liu Jin. Research and Implementation Based on Multi-feature Fusion Particle Filter Algorithm[J].Computer Measurement & Control, 2013, 11(5):1307-1309 |
[5] |
Chen Shanjing. Study of Particle Filtering Algorithm Based on Multi-feature Fusion[J].Computer Engineering,2011, 37(7):179-180 |
[6] |
Komeili M, Armanfard N, Kabir E. A Fuzzy Approach for Multi-feature Pedestrian Tracking with Particle Filter[J].IEEE International Symposium on Telecommunications, 2008,2(8):570-576 |
[7] |
Yao Haitao, Zhu Fuxi, Chen Haiqiang. Face Tracking Based on Adaptive PSO Particle Filter[J].Geomatics and Information Science of Wuhan University,2012, 37(4):493-497(姚海涛,朱福喜,陈海强.一种自适应的PSO粒子滤波人脸视频跟踪方法[J].武汉大学学报·信息科学版,2012,37(4):493-497) |
[8] |
Iwata K, Hongo H, Yamamoto K, et al. Robust Facial Parts Detection by Using Four Directional Features and Relaxation Matching[J]. IEEJ Transactions on Electronics Information and Systems,2004, 124(3):706-712 |
[9] |
Erdema E, Dubuissonb S, Blochc I.Visual Tracking by Fusing Multiple Cues with Context-Sensitive Reliabilities[J].Pattern Recognition, 2012, 45(5):1948-1959 |
[10] |
Hiratsuka M. Pedestrian Detection for a Near Infrared Imaging System[C]. The 11th International IEEE Conference on Intelligent Transportation Systems, Beijing, 2008 |
[11] |
Chen S Y. Kalman Filter for Robot Vision:A Survey[J]. IEEE Transactions on Industrial Electronics, 2011, 99:1-2 |
[12] |
Wang Shupeng, Ji Hongbing. Based Target Tracking Method Color Space Model[J].Xi'an Electronic Science and Technology Report, 2009, 34(4):77-78 |
[13] |
Jia Yonghong, Li Deren. An Approach of Classification Based on Pixel Level and Decision Level Fusion of Multi-source Images in Remote Sensing[J].Geomatics and Information Science of Wuhan University,2001,26(5),431-433(贾永红,李德仁.多源遥感影像像素级融合分类与决策级分类融合法的研究[J].武汉大学学报·信息科学版,2001,26(5):431-433) |
[14] |
Wang Huan,Wang Jiangtao,Ren Mingwu,et al.A Robust Multi-feature Fusion Target Tracking Algorithm[J].Chinese Journal of Image and Graphics, 2011,14(3):489-498(王欢, 王江涛, 任明武, 等.一种鲁棒的多特征融合目标跟踪新算法[J].中国图象图形学报, 2011, 14(3):489-498) |
[15] |
Komeili M, Armanfard N,Kabir E.A Fuzzy Approach for Multi-feature pedestrian tracking with particle filter[C]. Internatioal Symposium on Telecommunications, Tehran, Iran, 2012 |
[16] |
Fen Xu,Zhao Lijuan.A Particle Filter Tracking Algorithm Based on Adaptive Feature Fusion Strategy[J].Intelligent Control and Automation,2012,8(12):4612-4615 |
[17] |
Quadtrees M T. A Data Structure for Restoring Pare to Sets in Multi-object Evolutionary Algorithms with Elitism[M]. New York:Springer Verlag, 2005 |
[18] |
Parsopoulos K E,Vrahati M N. Particle Swarm Optimizer in Noisy and Continuously Changing Environments[M]//Hamza M H. Intelligence and Soft Computing, Anaheim, CA:ACTA Press, 2001 |