Improved efficiency of road sign detection and recognition by employing Kalman filter : 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings
Zakir, Usman and Hussain, Amir and Ali, Liaqat and Luo, Bin (2013) Improved efficiency of road sign detection and recognition by employing Kalman filter : 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings. In: Advances in Brain Inspired Cognitive Systems. Lecture Notes in Computer Science . Springer Berlin Heidelberg, Berlin, pp. 216-224. ISBN 9783642387852
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This paper describes an efficient approach towards road sign detection, and recognition. The proposed system is divided into three sections namely: Road Sign Detection where Colour Segmentation of the road traffic signs is carried out using HSV colour space considering varying lighting conditions and Shape Classification is achieved by using Contourlet Transform, considering possible occlusion and rotation of the candidate signs. Road Sign Tracking is introduced by using Kalman Filter where object of interest is tracked until it appears in the scene. Finally, Road Sign Recognition is carried out on successfully detected and tracked road sign by using features of a Local Energy based Shape Histogram (LESH). Experiments are carried out on 15 distinctive classes of road signs to justify that the algorithm described in this paper is robust enough to detect, track and recognize road signs under varying weather, occlusion, rotation and scaling conditions using video stream.
| Author(s): | Zakir, Usman, Hussain, Amir, Ali, Liaqat and Luo, Bin | Item type: | Book Section |
|---|---|
| ID code: | 48686 |
| Keywords: | SVM, road signs, HSV, contourlet transform, LESH, colour segmentation, autonomous vehicles, kalman filter, Engineering design, Highway engineering. Roads and pavements, Automotive Engineering |
| Subjects: | Technology > Engineering (General). Civil engineering (General) > Engineering design Technology > Highway engineering. Roads and pavements |
| Department: | Faculty of Engineering > Design, Manufacture and Engineering Management |
| Depositing user: | Pure Administrator |
| Date deposited: | 20 Jun 2014 11:16 |
| Last modified: | 03 Jan 2019 13:36 |
| Related URLs: | |
| URI: | https://strathprints.strath.ac.uk/id/eprint/48686 |
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