Abstract
‘Coopetitive’ interaction strategy has been shown to give better results than similar strategies like ‘only cooperation’, ‘only competition’ etc [7]. However, this has been studied only in the context of visual sensors and for handling non-simultaneous events. In this paper, we study this ‘coopetitive’ strategy from a multimedia surveillance system perspective, wherein the system needs to utilize multiple heterogeneous sensors and also handle multiple simultaneous events. Applying such an interaction strategy to multimedia surveillance systems is challenging because heterogeneous sensors have different capabilities for performing different sub-tasks as well as dissimilar response times. We adopt a merit-cum-availability based approach to allocate various sub-tasks to the competing sensors which eventually cooperate to achieve the specified system goal. Also, a ‘coopetition’ based strategy is adopted for effectively utilizing the information coming asynchronously from different data sources. Multiple simultaneous events (e.g. multiple intrusions) are handled by adopting a predictive strategy which estimates the exit time for each intruder and then uses this information for enhanced scheduling. The results obtained for two sets of surveillance experiments conducted with two active cameras and a motion sensor grid are promising.
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References
Collins, R., Lipton, A., Fujiyoshi, H., Kanade, T.: Algorithms for cooperative multisensor surveillance. Proceedings of the IEEE 89(10), 1456–1477 (2001)
Doran, J.E., Franklin, S., Jennings, N.R., Norman, T.J.: On cooperation in multi-agent systems. The Knowledge Engineering Review 12(3), 309–314 (1997)
Garcia, J., Carbo, J., Molina, J.M.: Agent-based coordination of cameras. International Journal of Computer Science and Applications 2(1), 33–37 (2005)
Hu, B., Liu, J., Jin, X.: From local behaviors to global performance in a multi-agent system. In: IEEE/ACM conference on Intelligent Agent Technology (2004)
Lam, K.-Y., Chiu, C.K.H.: Adaptive visual object surveillance with continuously moving panning camera. In: ACM International workshop on Video Surveillance and Sensor Networks, pp. 29–38 (2004)
Murphy, R.R., Lisetti, C.L., Tardif, R., Irish, L., Gage, A.: Emotion-based control of cooperating heterogeneous mobile robots. IEEE Transactions on Robotics and Control 18(5), 744–757 (2002)
Singh, V.K., Atrey, P.K.: Coopetitive visual surveillance using model predictive control. In: ACM International workshop on Video Surveillance and Sensor Networks, pp. 149–158 (2005)
Tian, Y.-L., Brown, L., Hampapur, A., Pankanti, S., Senior, A.W., Bolle, R.M.: Adaptive visual object surveillance with continuously moving panning camera. In: IEEE workshop on performance evaluation of tracking and surveillance (2003)
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© 2006 Springer-Verlag Berlin Heidelberg
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Singh, V.K., Atrey, P.K., Kankanhalli, M.S. (2006). Coopetitive Multimedia Surveillance. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69429-8_35
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DOI: https://doi.org/10.1007/978-3-540-69429-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69428-1
Online ISBN: 978-3-540-69429-8
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