Swarm intelligence based dynamic object tracking
暂无分享,去创建一个
[1] Yuhui Shi,et al. Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[2] T. Kailath. The Divergence and Bhattacharyya Distance Measures in Signal Selection , 1967 .
[3] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[4] Dorin Comaniciu,et al. Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[5] Heinrich Niemann,et al. Segmentation-based object tracking using image warping and Kalman filtering , 2002, Proceedings. International Conference on Image Processing.
[6] C. Beleznai,et al. Human tracking by mode seeking , 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..
[7] L. Davis,et al. Incremental density approximation and kernel-based Bayesian filtering for object tracking , 2004, CVPR 2004.
[8] M.D. Jazi,et al. A Hybrid Method for Robust Multiple Objects Tracking in Cluttered Background , 2006, 2006 2nd International Conference on Information & Communication Technologies.
[9] Swarup Medasani,et al. Classifier Swarms for Human Detection in Infrared Imagery , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[10] Jorge S. Marques,et al. Robust shape tracking in the presence of cluttered background , 2004, IEEE Trans. Multim..
[11] Larry S. Davis,et al. Fast multiple object tracking via a hierarchical particle filter , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[12] M. Jaward,et al. Multiple object tracking using particle filters , 2006, 2006 IEEE Aerospace Conference.
[13] Stanley T. Birchfield,et al. Elliptical head tracking using intensity gradients and color histograms , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[14] Dan Schonfeld,et al. Robust Kernel-Based Tracking using Optimal Control , 2006, 2006 International Conference on Image Processing.
[15] Gary Bradski,et al. Learning-Based Computer Vision with Intels Open Source Computer Vision Library , 2005 .
[16] Dorin Comaniciu,et al. Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[18] Mario Hernández-Tejera,et al. Particle Swarms as Video Sequence Inhabitants For Object Tracking in Computer Vision , 2006, Sixth International Conference on Intelligent Systems Design and Applications.
[19] Raúl Rojas,et al. Kalman filter for vision tracking , 2005 .
[20] Jae Wook Jeon,et al. A Real-Time Object Tracking System Using a Particle Filter , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[21] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[22] Alex Pentland,et al. Pfinder: real-time tracking of the human body , 1996, Other Conferences.
[23] Michael J. Swain,et al. Color indexing , 1991, International Journal of Computer Vision.
[24] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..
[25] Larry S. Davis,et al. Hydra: multiple people detection and tracking using silhouettes , 1999, Proceedings 10th International Conference on Image Analysis and Processing.