Abstract
Occlusions and incorrect detection make it very difficult to combine information from all views correctly in multi-view surveillance. As a result, we proposed a fuzzy matching strategy using a multi-planar homography constraint. Different from conventional methods which determine relationships of blobs based on their locations on the ground plane corresponding to the feet of the people, our method employs a statistical strategy. First, we divide each target into several parts, and project them onto different planes in the space. Then overlapped parts in different planes will be recorded. The optimal pairs appear based on a voting strategy. Experimental results are shown in scenes from different view points and light conditions. The algorithm is able to accurately match target blobs in all views. It is ideally suitable for conditions with not enough features.
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References
Zhong, F., Qin, X., Chen, J., Hua, W., Peng, Q.: Confidence-Based Color Modeling for Online Video Segmentation. In: Zha, H., Taniguchi, R.-i., Maybank, S. (eds.) ACCV 2009, Part II. LNCS, vol. 5995, pp. 697–706. Springer, Heidelberg (2010)
Javed, O., Rasheed, Z., Alatas, O., et al.: Knight: a real-time surveillance system for multiple overlapping and on-overlapping cameras. In: Proceedings of the IEEE International Conference on Multimedia and Expo, vol. 1, pp. 6–9 (2003)
Du, W., Piater, J.: Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds.) ACCV 2007, Part I. LNCS, vol. 4843, pp. 365–374. Springer, Heidelberg (2007)
Arsic, D., Hristov, E., Lehment, N., Hornler, B., Schuller, B., Rigoll, G.: Applying Multi-Layer Homography for Multi-camera Person Tracking. In: Second ACM/IEEE International Conference on Distributed Smart Cameras, pp. 1–9 (2008)
Khan, S.M., Shah, M.: Tracking Multiple Occluding People by Localizing on Multiple Scene Planes. PAMI 31(3), 505–519 (2009)
Khan, S.M., Shah, M.: A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 133–146. Springer, Heidelberg (2006)
Cai, Q., Aggarwal, J.: Tracking human motion using multiple cameras. In: Proceedings of the International Conference on Pattern Recognition, Vienna, Austria, pp. 68–72 (1996)
Delamarre, Q., Faugeras, O.: 3D articulated models and multi-view tracking with physical forces. Computer Vision and Image Understanding 81, 328–357 (2001)
Deutscher, J., Davision, A., Reid, I.: Automatic partitioning of high dimensional search spaces associated with articulated body motin capture. In: Proceedings of the IEEE Conference on Computer Vison and Pattern Recognition, Kauai, Hawaii, vol. 2, pp. 669–676 (2001)
Taj, M., Cavallaro, A.: Multi-camera track-before-detect. In: Proc. of ACM/IEEE Int. Conf. on Distributed Smart Cameras (ICDSC 2009), Como, IT, pp. 1–6 (2009)
Shao, J., Dong, N., Liu, F., Li, Z.: A close-loop tracking approach for multi-view pedestrian tracking. Journal of Computational Information Systems 7(2), 539–547
Shao, J., Dong, N., Liu, F., Li, Z.: A close-loop tracking approach for multi-view pedestrian tracking. Journal of Computational Information Systems 7(2), 539–547
Zhang, Z.: A Flexible New Technique for Cmera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(1), 1330–1334 (2002)
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Shao, J., Dong, N. (2012). A Multi-view Fuzzy Matching Strategy with Multi-planar Homography. In: Wang, F.L., Lei, J., Lau, R.W.H., Zhang, J. (eds) Multimedia and Signal Processing. CMSP 2012. Communications in Computer and Information Science, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35286-7_24
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DOI: https://doi.org/10.1007/978-3-642-35286-7_24
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