Abstract
In this paper we describe how the combination of several vision sensors can be used to track multiple human targets in a typical surveillance situation. The experimental system devised is made up of a fixed camera and a binocular active vision system. The fixed camera is used to provide the system with peripheral motion detection capabilities. The human activity is monitored by extracting several parameters that are useful for their classification. The system enables the creation of a record based on the type of activity. These logs can be selectively accessed and provide images of the humans in specific areas.
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References
B. Rao and H. Durrant-Whyte. A decentralized bayesian algorithm for identification of tracked targets. IEEE Trans. on Systems, Man and Cybernetics, 23(6):1683–1698, November/December 1993.
K. Rao. Shape description of curved 3d objects for aerial surveillance. In ARPA96, pages 1065–1076, 1996.
R. Howarth and H. Buxton. Visual surveillance monitoring and watching. In ECCV96-II, pages 321–334, 1996.
L. Davis, R. Chellapa, Y. Yacoob, and Q. Zheng. Visual surveillance and monitoring of human and vehicular activity. In DARPA97, pages 19–27, 1997.
Y. Cui, S. Samarasekera, Q. Huang, and M. Greiffenhagen. Indoor monitoring via the collaboration between a peripheral sensor and a foveal sensor. In Proc. of the IEEE Workshop on Visual Surveillance, pages 2–9. IEEE Computer Society, January 1998.
T. Kanade, R. T. Collins, A.J. Lipton, P. Anandan, P. Burt, and L. Wixson. Cooperative multisensor video surveillance. In Proc. of the DARPA Image Universtanding Workshop, pages 3–10, 1997.
M. Yedanapudi, Y. Bar-Shalom, and K. R. Pattipati. Imm estimation for nultitarget-multisensor air-traffic surveillance. Proc. IEEE, 1:80–94, January 1997.
E. Grimson, P. Viola, O. Faugeras, T. Lozano-Perez, T. Poggio, and S. Teller. A forest of sensors. In Proc. of the DARPA Image Understanding Workshop, volume 1, pages 45–50, New Orleans, LA, 1997.
K. J. Bradshaw, I. Reid, and D. Murray. The active recovery of 3d motion trajectories and their use in prediction. IEEE Trans. on PAMI, 19(3):219–234, March 1997.
J. Batista, P. Peixoto, and H. Araújo. Real-time vergence and binocular gaze control. In IROS97-IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Grenoble, France, September 1997.
J. Batista, P. Peixoto, and H. Araujo. Real-time visual surveillance by integrating peripheral motion detection with foveated tracking. In Proc. of the IEEE Workshop on Visual Surveillance, pages 18–25. IEEE Computer Society, January 1998.
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© 2000 Springer-Verlag London Limited
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Peixoto, P., Batista, J., Araújo, H., de Almeida, A.T. (2000). Combination of several vision sensors for interpretation of human actions. In: Experimental Robotics VI. Lecture Notes in Control and Information Sciences, vol 250. Springer, London. https://doi.org/10.1007/BFb0119429
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DOI: https://doi.org/10.1007/BFb0119429
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Publisher Name: Springer, London
Print ISBN: 978-1-85233-210-5
Online ISBN: 978-1-84628-541-7
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