The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 31-502
Full Name: Yen-Lin Chen
Position: Assistant Professor
Age: ON
Sex: Male
Address: Dept. of Computer Science and Information Engineering, Asia Univ., 500 Liufeng Rd., Wufeng, Taichung county
Country: TAIWAN
Tel: +886-4-2332-3456 Ext. 48034
Tel prefix:
Fax:
E-mail address: ylchen@asia.edu.tw
Other E-mails: ylchen@cssp.cn.nctu.edu.tw
Title of the Paper: Real-Time Image Segmentation and Analysis for Vehicle Light Detection on a Nighttime Moving Vehicle
Authors as they appear in the Paper: Yen-Lin Chen
Email addresses of all the authors: ylchen@asia.edu.tw
Number of paper pages: 10
Abstract: This study proposes a vehicle detection system for identifying the vehicles by locating their headlights and rear-lights in the nighttime road environment. The proposed system comprises of two stages for detecting the vehicles in front of the camera-assisted car. The first stage is a fast automatic multilevel thresholding, which separates the bright objects from the grabbed nighttime road scene images. This proposed automatic multilevel thresholding approach provide the robustness and adaptability for the system to operate on various illuminated conditions at night. Then the extracted bright objects are processed by the second stage ¡V the proposed knowledge-based connected-component analysis procedure, to identify the vehicles by locating their vehicle lights, and estimate the distance between the camera-assisted car and the detected vehicles. Experimental results demonstrate the feasibility and effectiveness of the proposed approach on vehicle detection at night.
Keywords: Vehicle detection, night scene, image segmentation, image analysis, multilevel thresholding, autonomous vehicles
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Prof. CHIEN KUO HAN, jackhan@asia.edu.tw
IP ADDRESS: 210.60.29.254
