Abstract
Recently, the focus of safety systems for intelligent vehicles has been on researching and developing Advanced Driver Assistance Systems (ADAS). Most efforts have been concentrated at the driver, not taking into account the protection of the most vulnerable road users. This paper describes a pedestrian detection algorithm based on stereo vision. The use of visual information is a promising approach to cope with the different appearances of pedestrians and changes of illumination in cluttered environments. Active contour models are used to detect and track people from the images taken by an on-board vision system, performing contour extraction in sequential frames.
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References
McDonald, J., Markham, C., McLoughlin, S.: Selected problems in automated vehicle guidance. Tech. Report NUIM/SS/2001/05 Signals and Systems Group, National University of Ireland (2001)
Gavrila, D.M., Kunert, M., Lages, U.: A multi-sensor approach for the protection of vulnerable traffic participants-the PROTECTOR project. In: IEEE Instrumentation and Measurement Technology Conference, vol. 3, pp. 2044–2048 (2001)
Information Society Technologies for Transport and Mobility. Achievements and Ongoing Projects from the Fifth Framework Programme: Office for Official Publications of the European Communities (2003), http://europa.eu.int
Papageorgiou, C., Evgeniou, T., Poggio, T.: A trainable pedestrian detection system. In: Proc. of Intelligent Vehicles, pp. 241–246 (1998)
Gavrila, D.M., Philomin, V.: Real-time object detection for “smart” vehicles. In: Proc. of IEEE Intl. Conf. on Computer Vision, pp. 87–93 (1999)
Zhao, L., Thorpe, C.E.: Stereo- and neural network-based pedestrian detection. IEEE Transactions on Intelligent Transportation Systems 1, 148–154 (2000)
Broggi, A., Bertozzi, M., Fascioli, A., Sechi, M.: Shape-based pedestrian detection. In: IEEE Intelligent Vehicles Symposium, pp. 215–220 (2000)
Meis, U., Oberländer, M., Ritter, W.: Reinforcing the reliability of pedestrian detection in far-infrared sensing. In: IEEE Intellignet Vehicles Symposium, pp. 779–783 (2004)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active Contour Models. Int. J. Comp. Vision 1, 321–331 (1988)
Williams, D.J., Shah, M.: A Fast Algorithm for Active Contours and Curvature Estimation. CVGIP: Image Understanding 55, 14–26 (1992)
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© 2005 Springer-Verlag Berlin Heidelberg
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Hilario, C., Collado, J.M., Armingol, J.M., de la Escalera, A. (2005). Pedestrian Detection for Intelligent Vehicles Based on Active Contour Models and Stereo Vision. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2005. EUROCAST 2005. Lecture Notes in Computer Science, vol 3643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556985_70
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DOI: https://doi.org/10.1007/11556985_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29002-5
Online ISBN: 978-3-540-31829-3
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