DocumentCode :
3726520
Title :
A Three-Step Vehicle Detection Framework for Range Estimation Using a Single Camera
Author :
Ritesh Kanjee;Asheer K. Bachoo;Johnson Carroll
fYear :
2015
Firstpage :
442
Lastpage :
448
Abstract :
This paper proposes and validates a real-time on-road vehicle detection system, which uses a single camera for the purpose of intelligent driver assistance. A three-step vehicle detection framework is presented to detect and track the target vehicle within an image. In the first step, probable vehicle locations are hypothesized using pattern recognition. The vehicle candidates are then verified in the hypothesis verification step. In this step, lane detection is used to filter vehicle candidates that are not within the lane region of interest. In the final step tracking and online learning are implemented to optimize the detection algorithm during misdetection and temporary occlusion. Good detection performance and accuracy was observed in highway driving environments with minimal shadows.
Keywords :
"Vehicles","Vehicle detection","Pattern matching","Target tracking","Image edge detection","Feature extraction","Cameras"
Publisher :
ieee
Conference_Titel :
Computational Intelligence, 2015 IEEE Symposium Series on
Print_ISBN :
978-1-4799-7560-0
Type :
conf
DOI :
10.1109/SSCI.2015.72
Filename :
7376645
Link To Document :
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