Abstract
In this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced. The approach starts detecting human candidate blobs processed through traditional image thresholding techniques. Afterwards, the blobs are refined with the objective of validating the content of each blob. The question to be solved is if each blob contains one single human candidate or more than one. If the blob contains more than one possible human, the blob is divided to fit each new candidate in height and width.
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References
Benet, G., Blanes, F., Simó, J.E., Pérez, P.: Using infrared sensors for distance measurement in mobile robots. Robotics and Autonomous Systems 40(4), 255–266 (2002)
Bhanu, B., Han, J.: Kinematic-based human motion analysis in infrared sequences. In: Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision, pp. 208–212 (2002)
Davis, J.W., Sharma, V.: Background-subtraction in thermal imagery using contour saliency. International Journal of Computer Vision 71(2), 161–181 (2007)
Davis, J.W., Keck, M.A.: A two-stage template approach to person detection in thermal imagery. In: Proceedings of the Seventh IEEE Workshops on Application of Computer Vision, vol. 1, pp. 364–369 (2005)
Garcia, M.A., Solanas, A.: Estimation of distance to planar surfaces and type of material with infrared sensors. In: Proceedings of the 17th International Conference on Pattern Recognition, vol. 1, pp. 745–748 (2004)
Iwasawa, S., Ebihara, K., Ohya, J., Morishima, S.: Realtime estimation of human body posture from monocular thermal images. In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 15–20 (1997)
Jung, S.-H., Eledath, J., Johansson, S., Mathevon, V.: Egomotion estimation in monocular infra-red image sequence for night vision applications. In: IEEE Workshop on Applications of Computer Vision, p. 8 (2007)
López, M.T., Fernández-Caballero, A., Fernández, M.A., Mira, J., Delgado, A.E.: Visual surveillance by dynamic visual attention method. Pattern Recognition 39(11), 2194–2211 (2006)
López, M.T., Fernández-Caballero, A., Fernández, M.A., Mira, J., Delgado, A.E.: Motion features to enhance scene segmentation in active visual attention. Pattern Recognition Letters 27(5), 469–478 (2006)
Nanda, H., Davis, L.: Probabilistic template based pedestrian detection in infrared videos. In: Proceedings of the IEEE Intelligent Vehicle Symposium, vol. 1, pp. 15–20 (2002)
Pavón, J., Gómez-Sanz, J., Fernández-Caballero, A., Valencia-Jiménez, J.J.: Development of intelligent multi-sensor surveillance systems with agents. Robotics and Autonomous Systems 55(12), 892–903 (2007)
Xu, F., Liu, X., Fujimura, K.: Pedestrian detection and tracking with night vision. IEEE Transactions on Intelligent Transportation Systems 6(1), 63–71 (2005)
Yilmaz, A., Shafique, K., Shah, M.: Target tracking in airborne forward looking infrared imagery. Image and Vision Computing 21(7), 623–635 (2003)
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Castillo, J.C., Serrano-Cuerda, J., Fernández-Caballero, A. (2010). Robust People Segmentation by Static Infrared Surveillance Camera. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13022-9_35
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DOI: https://doi.org/10.1007/978-3-642-13022-9_35
Publisher Name: Springer, Berlin, Heidelberg
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