Abstract
The image recognition system using CCTV camera has been introduced to minimize not only loss of life and property but also traffic jam in the tunnel. In this paper, object detection algorithm is proposed to track vehicles. The proposed algorithm is to detect cars based on Adaboost and to track vehicles to use Kalman filtering. As results of simulations, it is shown that proposed algorithm is useful for tracking vehicles.
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© 2011 Springer-Verlag Berlin Heidelberg
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Kim, G., Kim, H., Park, J., Yu, Y. (2011). Vehicle Tracking Based on Kalman Filter in Tunnel. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Information Security and Assurance. ISA 2011. Communications in Computer and Information Science, vol 200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23141-4_24
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DOI: https://doi.org/10.1007/978-3-642-23141-4_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23140-7
Online ISBN: 978-3-642-23141-4
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