TY - JOUR
T1 - Real-time traffic parameter extraction using entropy
AU - Hsu, W. L.
AU - Liao, H. Y.M.
AU - Jeng, B. S.
AU - Fan, K. C.
PY - 2004/6
Y1 - 2004/6
N2 - A vision-based traffic monitoring system that can perform real-time traffic parameter extraction is proposed. The entropy measurement, which is commonly adopted as an important feature to describe the degree of disorder in thermodynamics, is used as an underlying feature in this work. Based on an entropy measurement, a number of important traffic parameters, such as traffic flow, space mean speed and traffic queue, can be determined in real time. The experimental results clearly show that the proposed system is highly effective.
AB - A vision-based traffic monitoring system that can perform real-time traffic parameter extraction is proposed. The entropy measurement, which is commonly adopted as an important feature to describe the degree of disorder in thermodynamics, is used as an underlying feature in this work. Based on an entropy measurement, a number of important traffic parameters, such as traffic flow, space mean speed and traffic queue, can be determined in real time. The experimental results clearly show that the proposed system is highly effective.
UR - http://www.scopus.com/inward/record.url?scp=3242806003&partnerID=8YFLogxK
U2 - 10.1049/ip-vis:20040314
DO - 10.1049/ip-vis:20040314
M3 - 期刊論文
AN - SCOPUS:3242806003
SN - 1350-245X
VL - 151
SP - 194
EP - 202
JO - IEE Proceedings: Vision, Image and Signal Processing
JF - IEE Proceedings: Vision, Image and Signal Processing
IS - 3
ER -