Summary
Tracking objects through interactions is a complex task, especially when it is important to be able to obtain the final trajectory followed by the object being track. This work proposes the use of a Context Layer to solve the problem of tracking through objects interactions, using a Fuzzy Reasoning System. Other authors have already used context information within a tracking system in order to improve its performance. The novelty of this work relies in that a Context Layer is created to reason over a general tracking system and thus improve the performance, instead of creating a context-based tracking algorithm. The experimentation shows how this Context Layer reasons over and improves a general tracking system.
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References
Tian, W., Zhang, B., Jin, Z.: Joint tracking algorithm using particle filter and mean shift with target model updating. Chinese Optics Letters 4(10), 569–572 (2006)
Brdiczka, O., Yuen, P.C., Zaidenberg, S., Reignier, P., Crowley, J.L.: Automatic acquisition of context models and its application to video surveillance. In: Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006) (2006)
Dey, A.K.: Understanding and using context. J. Personal and Ubiquitous Computing 5(1) (February 2001)
Bremond, F., Cupillard, F., Thonnat, M.: Tracking groups of people for video surveillance. In: Proc. of the 2nd European Workshop on Advanced Video-Based Surveillance System (2001)
Morency, L., Sidner, C., Lee, C., Darrell, T.: Contextual recognition of head gestures. In: Proc. of ICMI (2005)
Angel Patricio, M., Garcia, J., Berlanga, A., Manuel Molina, J.: Video tracking association problem using estimation of distribution algorithms in complex scenes. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2007. LNCS, vol. 4528, pp. 261–270. Springer, Heidelberg (2007)
Patricio, M.A., Castanedo, F., Berlanga, A., Perez, O., Garcia, J., Molina, J.M.: Computational Intelligence in Visual Sensor Networks: Improving Video Processing Systems. In: Computational Intelligence in Multimedia Processing: Recent Advances. Studies in Computational Intelligence, vol. 96, pp. 351–377. Springer, Heidelberg (2008)
Patricio, M.A., Garcia, J., Berlanga, A., Molina, J.M.: Solving video-association problem with explicit evaluation of hypothesis using edas. In: Proceedings of the 2008 Congress on Evolutionary Computation CEC 2008. IEEE Press, Los Alamitos (2008)
Polana, R., Nelson, R.: Low level recognition of human motion. In: Motion of Non-Rigid and Articulated Objects, pp. 77–82 (1994)
Sanchez, A.M., Patricio, M.A., Garcia, J., Molina, J.M.: Video tracking improvement using context-based information. In: The 10th International Conference on Information Fusion, Quebec (July 2007)
Stauffer, C.: Estimating tracking sources and sinks. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, Madison, WI, pp. 259–266 (July 2003)
Pan, Q., Yang, T., Li, S.Z., Li, J.: Real-time multiple objects tracking with occlusion handling in dynamic scenes. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005) (2005)
Torralba, A., Murphy, K.P., Freeman, W.T., Rubin, M.A.: Context-based vision system for place and object recognition. In: Proc. of ICCV (2003)
Xu, M., Ellis, T.: Augmented tracking with incomplete observation and probabilistic reasoning. Image and Vision Computing 24, 1202–1217 (2006)
Zhao, T., Nevatia, R.: Tracking multiple humans in complex situations. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(9), 1208–1221 (2004)
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Sánchez, A.M., Patricio, M.A., García, J. (2009). Object’s Interaction Management by Means of a Fuzzy System within a Context-Based Tracking System. In: Corchado, J.M., Rodríguez, S., Llinas, J., Molina, J.M. (eds) International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008). Advances in Soft Computing, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85863-8_85
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DOI: https://doi.org/10.1007/978-3-540-85863-8_85
Publisher Name: Springer, Berlin, Heidelberg
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