Abstract
In this work, we propose a new application for road moving object detection in the goal to participate in reducing the big number of road accidents. Road moving object detection in a traffic video is a difficult task. Hence, in this work we present a new system in order to control the outside car risks by detecting and tracking of different road moving objects. This developed system is based on computer vision techniques that aim to solve this problem by using Haar like features and Background Subtraction technique. Experimental results indicate that the suggested method of moving object detection can be achieved with a high detection ratio.
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Acknowledgements
The authors would like to acknowledge the financial support of this work by grants from the General Direction of Scientific Research (DGRST), Tunisia, under the ARUB program.
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Dkhil, M.B., Wali, A., Alimi, A.M. (2016). An Intelligent System for Road Moving Object Detection. In: Abraham, A., Han, S., Al-Sharhan, S., Liu, H. (eds) Hybrid Intelligent Systems. HIS 2016. Advances in Intelligent Systems and Computing, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-319-27221-4_16
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DOI: https://doi.org/10.1007/978-3-319-27221-4_16
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