- About this Journal ·
- Abstracting and Indexing ·
- Advance Access ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 976574, 11 pages
Moving Target Detection and Active Tracking with a Multicamera Network
1Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, China
2Digital Navigation Center, Beihang University, Beijing 100191, China
3School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, China
Received 16 January 2014; Revised 7 April 2014; Accepted 7 April 2014; Published 30 April 2014
Academic Editor: Wei Lin
Copyright © 2014 Long Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- F. Z. Qureshi and D. Terzopoulos, “Surveillance in virtual reality: system design and multi-camera control,” in Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '07), pp. 1–8, Minneapolis, Minn, USA, June 2007.
- P. D. Z. Varcheie and G. A. Bilodeau, “People tracking using a network-based PTZ camera,” Machine Vision and Applications, vol. 22, no. 4, pp. 671–690, 2011.
- C. H. Chen, Y. Yao, D. Page, B. Abidi, A. Koschan, and M. Abidi, “Heterogeneous fusion of omnidirectional and PTZ cameras for multiple object tracking,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 8, pp. 1052–1063, 2008.
- X. Clady, F. Collange, F. Jurie, and P. Martinet, “Object tracking with a Pan-tilt-zoom camera: application to car driving assistance,” in Proceedings of the 2001IEEE International Conference on Robotics and Automation (ICRA '01), pp. 1653–1658, Seoul, Korea, May 2001.
- N. Bellotto, E. Sommerlade, B. Benfold et al., “A dstributed camera system for multi-resolution surveillance,” in Proceedings of the 2009 3rd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC '09), Como, Italy, September 2009.
- C. Ding, B. Song, A. Morye, J. A. Farrell, and A. K. Roy-Chowdhury, “Collaborative sensing in a distributed PTZ camera network,” IEEE Transactions on Image Processing, vol. 21, no. 7, pp. 3282–3295, 2012.
- E. B. Ermis, P. Clarot, P. M. Jodoin, and V. Saligrama, “Activity based matching in distributed camera networks,” IEEE Transactions on Image Processing, vol. 19, no. 10, pp. 2595–2613, 2010.
- Y. I. Abdel-Aziz and H. M. Karara, “Direct linear transformation into object space coordinates in close-range photogrammetry,” in Proceedings of the Symposium on Close-Range Photogrammetry, pp. 1–18, Urbana, Ill, USA, 1971.
- R. Y. Tsai, “A versatile camera calibration technique for high-accuracy 3D Machine vision metrology using off-the-shelf TV camera and lenses,” IEEE Journal of Robotics and Automation, vol. 3, no. 4, pp. 323–344, 1987.
- J. Long, X. Zhang, and L. Zhao, “A fast calibration algorithm based on vanishing point for scene camera,” Applied Mechanics and Materials, vol. 58–60, pp. 1148–1153, 2011.
- Z. Zhang, “A flexible new technique for camera calibration,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330–1334, 2000.
- D. M. Tsai and S. C. Lai, “Independent component analysis-based background subtraction for indoor surveillance,” IEEE Transactions on Image Processing, vol. 18, no. 1, pp. 158–167, 2009.
- J. Migdal and W. E. L. Grimson, “Background subtraction using Markov thresholds,” in Proceedings of the IEEE Workshop on Motion and Video Computing (MOTION '05), pp. 58–65, Breckenridge, Colo, USA, January 2005.
- C. Stauffer and W. E. L. Grimson, “Learning patterns of activity using real-time tracking,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 747–757, 2000.
- D. S. Lee, “Effective Gaussian mixture learning for video background subtraction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 5, pp. 827–832, 2005.
- O. Barnich and M. Van Droogenbroeck, “ViBE: a powerful random technique to estimate the background in video sequences,” in Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '09), pp. 945–948, Taibei, Taiwan, April 2009.
- A. Elgammal, D. Harwood, and L. Davis, “Non-parametric model for background subtraction,” in Proceedings of the 6th European Conference on Computer Vision-Part II, pp. 751–767, London, UK, 2000.
- S. Sivaraman and M. M. Trivedi, “Looking at vehicles on the road: a survey of vision-based vehicle detection, tracking, and behavior analysis,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 4, pp. 1773–1795, 2013.
- G. H. Wen, Z. S. Duan, G. R. Chen, and W. W. Yu, “Consensus tracking of multi-agent systems with lipschitz-type node dynamics and switching topologies,” IEEE Transactions on Circuits and Systems, vol. 60, no. 9, pp. 1–13, 2013.
- D. B. Reid, “An algorithm for tracking multiple targets,” IEEE Transactions on Automatic Control, vol. 24, no. 6, pp. 843–854, 1979.
- C. Rasmussen and G. D. Hager, “Probabilistic data association methods for tracking complex visual objects,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 560–576, 2001.
- S. Oh, S. Russell, and S. Sastry, “Markov chain Monte Carlo data association for multi-target tracking,” IEEE Transactions on Automatic Control, vol. 54, no. 3, pp. 481–497, 2009.
- A. Andriyenko, K. Schindler, and S. Roth, “Discrete-continuous optimization for multi-target tracking,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1926–1933, Providence, RI, USA, 2012.
- H. Zhang and L. Zhao, “Integral channel features for particle filter based object tracking,” in Proceedings of the 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, pp. 190–193, Hangzhou, China, 2013.
- B. Song and A. K. Roy-Chowdhury, “Stochastic adaptive tracking in a camera network,” in Proceedings of the 2007 IEEE 11th International Conference on Computer Vision (ICCV '07), pp. 1–8, October 2007.
- M. Taj and A. Cavallaro, “Distributed and decentralized multicamera tracking,” IEEE Signal Processing Magazine, vol. 28, no. 3, pp. 46–58, 2011.
- C. Micheloni, B. Rinner, and G. L. Foresti, “Video analysis in pan-tilt-zoom camera networks,” IEEE Signal Processing Magazine, vol. 27, no. 5, pp. 78–90, 2010.
- N. Krahnstoever, T. Yu, S. Lim, K. Patwardhan, and P. Tu, “Collaborative real-time control of active cameras in large scale surveillance systems,” in Proceedings of the Workshop on Multi-Camera and Multi-modal Sensor Fusion Algorithms and Applications, pp. 1–12, Marseille, France, 2008.
- L. Zhao and J. B. Xiao, “Improved algorithm of tracking moving objects under occlusions,” Journal of Beijing University of Aeronautics and Astronautics, vol. 39, no. 4, pp. 517–520, 2013.