Parametric Tracking Across Multiple Cameras with Spatial Estimation

References

• P. Sebastian. “Parametric tracking with spatial extraction across an array of cameras,” Ph.D., School of Science and Technology, Middlesex University, 2016.
   Google Scholar
• R. K. Behera, P. Kharade, S. Yerva, P. Dhane, A. Jain, and K. Kutty. “Multi-camera based surveillance system,” in 2012 World Congress on Information and Communication Technologies (WICT), Trivandrum, 2012, pp. 102–8.
   Google Scholar
• H.-H. Hsu, W.-M. Yang, and T. K. Shih. “People tracking in a multi-camera environment,” in IEEE Conference Anthology, 1–8 Jan, 2013 [cited 2013 1–8 Jan. 2013].
   Google Scholar
• R. K. Behera, P. Kharade, S. Yerva, P. Dhane, A. Jain and K. Kutty, et al. “An intelligent system architecture for multi-camera human tracking at airports,” in 2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, 2012, pp. 175–80.
   Google Scholar
• M. Bredereck, et al. “Data association for multi-object tracking-by-detection in multi-camera networks,” in 2012 Sixth International Conference on Distributed Smart Cameras (ICDSC), Hong Kong, 2012, pp. 1–6.
   Google Scholar
• Y. Wang, S. Velipasalar, and M. C. Gursoy. “Wide-area multi-object tracking with non-overlapping camera views,” in 2011 IEEE International Conference on in Multimedia and Expo (ICME), Barcelona, 2011, pp. 1–6.
   Google Scholar
• Y. Yang, J. F. Doherty, and R. E. Van Dyck. “Moving object tracking in video,” in 29th Applied Imagery Pattern Recognition Workshop 2000, Washington, DC, 2000, pp. 95–101.
   Google Scholar
• S. Park, and J. K. Aggarwal. “Segmentation and tracking of interacting human body parts under occlusion and shadowing,” in Workshop on motion and video computing 2002, 2002, pp. 105–111.
   Google Scholar
• N. D. Bird, et al. “Detection of loitering individuals in public transportation areas,” in IEEE Transactions on Intelligent Transportation Systems, 2005, pp. 167–77.
   Google Scholar
• T. Moritomo, et al. “Object tracking in video pictures based on image segmentation and pattern matching,” in 2005 IEEE International Symposium on Circuits and Systems, 2005, pp. 3215–18.
   Google Scholar
• W. Niu, et al. “Human Activity detection and recognition for video surveillance,” in 2004 IEEE International Conference on Multimedia and Expo, 2004, pp. 719–22.
   Google Scholar
• R. Bodor, B. Jackson, and N. P. Papanikolopoulos. “Vision-based human tracking and activity recognition,” in 11th Mediterranean Conference on Control and Automation, 2003.
   Google Scholar
• Q. Cai, and J. K. Aggarwal. “Automatic tracking of human motion in indoor scenes across multiple synchronized video streams,” in 1998 Sixth International Conference on Computer Vision, Bombay, 1998, pp. 356–62.
   Google Scholar
• E. Trucco, and K. Plakas, “Video tracking: a concise survey,” IEEE J. Oceanic Eng., Vol. 31, pp. 520–9, 2006. doi:10.1109/JOE.2004.839933
   Web of Science ®Google Scholar
• R. Diaz de Len, and L. E. Sucar. “Continuous activity recognition with missing data,” in 2002 16th International Conference on Pattern Recognition, 2002, pp. 439–42.
   Google Scholar
• N. T. Siebel, and S. Maybank. “Fusion of Multiple Tracking Algorithms for Robust People Tracking,” in Proceedings of the 7th European Conference on Computer Vision (ECCV 2002), 2002, pp. 373–87.
   Google Scholar
• K. R. Castleman. Digital Image Processing. Prentice Hall, 1996.
   Google Scholar
• J. Park, et al. “Detection of Human Faces using skin color and eyes,” in 2000 IEEE International Conference on Multimedia and Expo 2000 (ICME 2000), New York, NY, 2000, pp. 133–6.
   Google Scholar
• P. Chippendale. “Towards Automatic Body Language Annotation,” in 7th International Conference on Automatic Face and Gesture Recognition 2006 (FGR 2006), 2006, pp. 487–92.
   Google Scholar
• Y.-J. Chen, et al. “The Implementation of a Stand-alone Video Tracking and Analysis System for Animal Behavior Measurement in Morris Water Maze,” in 27th Annual International Conference on Engineering in Medicine and Biology Society 2005 (IEEE-EMBS 2005), Shanghai, 2005, pp. 1766–8.
   Google Scholar
• H. Stern, and B. Efros. “Adaptive Color Space Switching for Face Tracking in Multi-Colored Lighting Environments,” in 2002 Fifth IEEE Conference on Automatic Face and Gesture Recognition, Washington, DC, 2002, pp. 236–41.
   Google Scholar
• W.-S. Kim, D.-S. Cho, and H. M. Kim. “Interplane prediction for RGB video coding,” in 2004 International Conference on Image Processing (ICIP ‘04), 2004, pp. 785–8.
   Google Scholar
• H. Qian, X. Wu, and Y. Xu. Hybrid algorithm for segmentation and tracking surveillance,” in 2008 IEEE International Conference on Robotics and Biomimetics, 2009.
   Google Scholar
• M. A. Ali, S. Indupalli, and B. Boufama. “Tracking Multiple People for Video Surveillance,” in First International Workshop on Video Processing for Security, Quebec City, Canada, 2006.
   Google Scholar
• N. Atsushi, et al. “Tracking multiple people using distributed vision systems,” in 2002 IEEE International Conference on Robotics and Automation, Washington, DC, USA, 2002, pp. 2974–81.
   Google Scholar
• W. Yan, and D. A. Forsyth. “Learning the behavior of users in a public space through video tracking,” in 2005 Seventh IEEE Workshops on Application of Computer Vision, WACV/MOTIONS ‘05, 2005, pp. 370–7.
   Google Scholar
• P. E. Forssen. “Maximally Stable Colour Regions for Recognition and Matching,” in IEEE Conference on Computer Vision and Pattern Recognition, 2007.
   Google Scholar
• R. C. Gonzalez, R. E. Woods, and S. L. Eddins. Digital Image Processing Using Matlab. Pearson Prentice Hall, 2004.
   Google Scholar
• Z. Zivkovic, and B. Krose. “An EM-like algorithm for color-hostogram-based object tracking,” in Proceedings of the 2004 IEEE Computer Vision Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, 2004, pp. 798–803.
   Google Scholar
• H. Wang, et al. “Multi-camera tracking based on information fusion in video surveillance,” in 2009 Image and Signal Processing. CISP ‘09. 2nd International Congress on, Tianjin, 2009.
   Google Scholar
• G. Shen, et al. “Method of motion detection and tracking based on multi-camera,” in 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), Chengdu, 2010, pp. V3-409–V3-412.
   Google Scholar
• N. N. A. Aziz, et al. “Features Selection for Multi-camera Tracking,” in 2014 International Conference on Computer and Communication Engineering (ICCCE), Kuala Lumpur, 2014, pp. 243–6.
   Google Scholar
• M. O. Mehmood. “Multi-camera based human tracking with non-overlapping fields of view,” in 2009 International Conference on Application of Information and Communication Technologies, AICT 2009. Baku, 2009, pp. 1–6.
   Google Scholar
• W. Hassan, et al. “Object tracking in a multi camera environment,” in 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuala Lumpur, 2011, pp. 289–94.
   Google Scholar
• C.-H. Chen, et al. “People tracking in the multi-camera surveillance system,” in 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications (IBICA), Shenzen, 2011, pp. 1–4.
   Google Scholar
• M. Eldib, et al. “A low resolution multi-camera system for person tracking,” in 2014 IEEE International Conference on Image Processing (ICIP), Paris, 2014, pp. 378–82.
   Google Scholar
• D. Komlen, et al. “Multi-camera person tracking system,” in MIPRO, 2012 Proceedings of the 35th International Convention, Opatija, 2012, pp. 1798–802.
   Google Scholar
• P. Sebastian, Y. Vooi Voon, and R. Comley, “Colour space effect on tracking in video surveillance,” Int. J. Electr. Eng. Inform., Vol. 2, pp. 298–312, 2010. doi:10.15676/ijeei.2010.2.4.5
   Google Scholar
• P. Sebastian, Y. Vooi Voon, and R. Comley. “Parametric tracking of multiple segmented regions,” in 2012 IEEE Symposium on Computer Applications and Industrial Electronics – Signal & Image Processing, Kota Kinabalu, Sabah, 2012.
   Google Scholar
• A. Dutta, and K. K. Sarma. “SAR image segmentation using wavelets and Gaussian mixture model,” in 2014 International Conference on the Signal Processing and Integrated Networks (SPIN), Noida, 2014.
   Google Scholar
• P. Sebastian, Y. Vooi Voon, and R. Comley, “Parametric tracking across multiple cameras,” Pertanika J. Sci. Technol., Vol. 25, pp. 1610–70, 2017.
   Google Scholar
• T. Ellis. “Performance metrics and methods for tracking in surveillance,” in Third IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Copenhagen, Denmark, 2002, pp. 26–31.
   Google Scholar
• P. Sebastian, Y. Vooi Voon, and R. Comley, “Performance evaluation metrics for video tracking,” IETE Tech. Rev., Vol. 28, pp. 493–502, 2011. doi:10.4103/0256-4602.90759
   Web of Science ®Google Scholar