A Novel Approach for On-road Vehicle Detection and Tracking
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 1
Abstract
On the basis of a necessary development of the road safety, vision-based vehicle detection techniques have gained an important amount of attention. This work presents a novel vehicle detection and tracking approach, and structured based on a vehicle detection process starting from, images or video data acquired from sensors installed on board of the vehicle, to vehicle detection and tracking. The features of the vehicle are extracted by the proposed GIST image processing algorithm, and recognized by the state-of-art Support Vectors Machine classifier. The tracking process was performed based on edge features matching approach. The Kalman filter was used to correct the measurements. Extensive experiments were carried out on real image data validate that it is promising to employ the proposed approach for on road vehicle detection and tracking.
Authors and Affiliations
Ilyas JAAFARI, Mohamed ANSARI, Lahcen KOUTTI, Ayoub ELLAHYANI, Said CHARFI
Keywords
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- EP ID EP122927
- DOI 10.14569/IJACSA.2016.070181
- Views 113
- Downloads 0
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