Abstract
A multi-view multi-hypothesis approach to segmenting and tracking multiple (possibly occluded) persons on a ground plane is proposed. During tracking, several iterations of segmentation are performed using information from human appearance models and ground plane homography. To more precisely locate the ground location of a person, all center vertical axes of the person across views are mapped to the top-view plane and their intersection point on the ground is estimated. To tackle the explosive state space due to multiple targets and views, iterative segmentation-searching is incorporated into a particle filtering framework. By searching for people’s ground point locations from segmentations, a set of a few good particles can be identified, resulting in low computational cost. In addition, even if all the particles are away from the true ground point, some of them move towards the true one through the iterated process as long as they are located nearby. We demonstrate the performance of the approach on several video sequences.
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Tu, Z., Zhu, S.-C.: Image segmentation by data-driven Markov chain Monte Carlo. IEEE Transactions on PAMI, 24(5) (May 2002)
Javed, O., Shafique, K., Shah, M.: Appearance Modeling for Tracking in Multiple Non-overlapping Cameras. In: IEEE CVPR (2005)
Senior, A.W.: Tracking with Probabilistic Appearance Models. In: ECCV workshop on Performance Evaluation of Tracking and Surveillance Systems, pp. 48–55 (2002)
Haritaoglu, I., Harwood, D., Davis, L.S.: W4: real-time surveillance of people and their activities. IEEE Transactions on PAMI 22(8) (August 2000)
Chang, T.H., Gong, S., Ong, E.J.: Tracking Multiple People Under Occlusion Using Multiple Cameras. BMVC (2000)
Kang, J., Cohen, I., Medioni, G.: Multi-Views Tracking Within and Across Uncalibrated Camera Streams. In: ACM SIGMM 2003 Workshop on Video Surveillance (2003)
Javed, O., Rasheed, Z., Shafique, K., Shah, M.: Tracking Across Multiple Cameras With Disjoint Views. In: The Ninth IEEE ICCV (2003)
Comaniciu, D., Meer, P.: Mean Shift: A Robust Approach toward Feature Space Analysis. IEEE Trans. on PAMI 24(5), 603–619 (2002)
Zhao, T., Nevatia, R.: Bayesian human segmentation in crowded situations. In: CVPR (June 2003)
Stauffer, C., Tieu, K.: Automated multi-camera planar tracking correspondence modeling. CVPR 01(1), 259 (2003)
Hu, M., Lou, J., Hu, W., Tan, T.: Multicamera correspondence based on principal axis of human body. In: IEEE ICIP (2004)
Arulampalam, S., Maskell, S., Gordon, N.J., Clapp, T.: A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking. IEEE Transactions of Signal Processing 50(2), 174–188 (2002)
Deutscher, J., Blake, A., Reid, I.: Articulated Body Motion Capture by Annealed Particle Filtering. In: CVPR (2000)
Sullivan, J., Rittscher, J.: Guiding random particles by deterministic search. In: ICCV (2001)
Shan, C., Wei, Y., Tan, T., Ojardias, F.: Real Time Hand Tracking by Combining Particle Filtering and Mean Shift. In: IEEE International Conference on Automatic Face and Gesture Recognition (2004)
Perez, P., Hue, C., Vermaak, J., Gangnet, M.: Color-based probabilistic tracking. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 661–675. Springer, Heidelberg (2002)
Isard, M., Blake, A.: CONDENSATION – conditional density propagation for visual tracking. Int. J. Computer Vision 29(1), 5–28 (1998)
Kim, K., Chalidabhongse, T.H., Harwood, D., Davis, L.: Real-time foregroundbackground segmentation using codebook model. In: Real-Time Imaging (June 2005)
Mittal, A., Davis, L.S.: M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene. IJCV 51(3) (2003)
Elgammal, A., Davis, L.S.: Probabilistic Framework for Segmenting People Under Occlusion. In: ICCV, Vancouver, Canada, July 9-12 (2001)
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Kim, K., Davis, L.S. (2006). Multi-camera Tracking and Segmentation of Occluded People on Ground Plane Using Search-Guided Particle Filtering. In: Leonardis, A., Bischof, H., Pinz, A. (eds) Computer Vision – ECCV 2006. ECCV 2006. Lecture Notes in Computer Science, vol 3953. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11744078_8
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DOI: https://doi.org/10.1007/11744078_8
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Print ISBN: 978-3-540-33836-9
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