Fast Vehicle Detection based on Haarlike and Vehicle Tracking using SURF Method (Haarlike 기반의 고속 차량 검출과 SURF 를 이용한 차량 추적 알고리즘)

Jae-Hyoung Yu (유재형); Youngjun Han (한영준); Hernsoo Hahn (한헌수)

Fast Vehicle Detection based on Haarlike and Vehicle Tracking using SURF Method

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2012, 17(1), pp.71-80
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Jae-Hyoung Yu ¹, Youngjun Han ¹, Hernsoo Hahn ¹

¹숭실대학교

Accredited

ABSTRACT

This paper proposes vehicle detection and tracking algorithm using a CCD camera. The proposed algorithm uses Haar-like wavelet edge detector to detect features of vehicle and estimates vehicle's location using calibration information of an image. After that, extract accumulated vehicle information in continuous k images to improve reliability. Finally, obtained vehicle region becomes a template image to find same object in the next continuous image using SURF(Speeded Up Robust Features). The template image is updated in the every frame. In order to reduce SURF processing time, ROI(Region of Interesting) region is limited on expended area of detected vehicle location in the previous frame image. This algorithm repeats detection and tracking progress until no corresponding points are found. The experimental result shows efficiency of proposed algorithm using images obtained on the road.

KEYWORDS

Haarlike Feature Extractor, Vehicle Detection, SURF, Vehicle Tracking

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65