TY - JOUR
T1 - Robust Vehicle Detection for Highway Surveillance via Rear-view Monitoring
AU - Yoneyama, Akio
AU - Yeh, Chia H.
AU - Jay Kuo, C. C.
PY - 2003
Y1 - 2003
N2 - Vision-based highway monitoring systems play an important role in transportation management and services owing to their powerful ability to extract a variety of information. Detection accuracy of vision-based systems is however sensitive to environmental factors such as lighting, shadow and weather conditions, and it is still a challenging problem to maintain detection robustness at all time. In this research, we present a novel method to enhance detection and tracking accuracy at the nighttime based on rear-view monitoring. In the meanwhile, a method is proposed to improve the background detection and extraction, which usually serves as the first step to moving object region detection. Finally, the effectiveness of the rear-view technique will be analyzed. We compare the tracking accuracy between the front-view and the rear-view techniques, and show that the proposed system can achieve higher detection accuracy at nighttime.
AB - Vision-based highway monitoring systems play an important role in transportation management and services owing to their powerful ability to extract a variety of information. Detection accuracy of vision-based systems is however sensitive to environmental factors such as lighting, shadow and weather conditions, and it is still a challenging problem to maintain detection robustness at all time. In this research, we present a novel method to enhance detection and tracking accuracy at the nighttime based on rear-view monitoring. In the meanwhile, a method is proposed to improve the background detection and extraction, which usually serves as the first step to moving object region detection. Finally, the effectiveness of the rear-view technique will be analyzed. We compare the tracking accuracy between the front-view and the rear-view techniques, and show that the proposed system can achieve higher detection accuracy at nighttime.
KW - Background Maintenance
KW - Background Subtraction
KW - Nighttime Detection
KW - Tracking
KW - Traffic Monitoring
UR - http://www.scopus.com/inward/record.url?scp=2342455782&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2342455782&partnerID=8YFLogxK
U2 - 10.1117/12.504094
DO - 10.1117/12.504094
M3 - Conference article
AN - SCOPUS:2342455782
SN - 0277-786X
VL - 5203
SP - 21
EP - 32
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Applications of Digital Image Processing XXVI
Y2 - 5 August 2003 through 8 August 2003
ER -