TY - GEN
T1 - Real-time on-road vehicle detection algorithm based on monocular vision
AU - Wang, Xiaoyong
AU - Bo, Wang
AU - Lu, Song
PY - 2012
Y1 - 2012
N2 - Increasing driving safety by virtue of advanced technology requires real-time and accurate detection of vehicles in far and close distance, which pose a threat to the host vehicle. This paper presents a real-time on-road vehicle detection algorithm based on monocular vision. First, auto-adapted threshold segmentation is proposed to extract shadow features. Then, a special mask is used for morphology computing to retain the features of vehicles in far and close distance. And, vanishing point constraint is applied for the fast verification of vehicles. Finally, the tracking of vehicles assists to stabilize the detection results. The experiments show that the average processing speed reaches 39 frames/ms, and the fast detection of vehicle under different weather conditions in the day time can also work accurately.
AB - Increasing driving safety by virtue of advanced technology requires real-time and accurate detection of vehicles in far and close distance, which pose a threat to the host vehicle. This paper presents a real-time on-road vehicle detection algorithm based on monocular vision. First, auto-adapted threshold segmentation is proposed to extract shadow features. Then, a special mask is used for morphology computing to retain the features of vehicles in far and close distance. And, vanishing point constraint is applied for the fast verification of vehicles. Finally, the tracking of vehicles assists to stabilize the detection results. The experiments show that the average processing speed reaches 39 frames/ms, and the fast detection of vehicle under different weather conditions in the day time can also work accurately.
KW - Vehicle Detection
KW - morphology computing
KW - threshold segmentation
KW - vanishing point constraint
UR - https://www.scopus.com/pages/publications/84880207219
U2 - 10.1109/ICCSNT.2012.6526046
DO - 10.1109/ICCSNT.2012.6526046
M3 - Conference contribution
AN - SCOPUS:84880207219
SN - 9781467329644
T3 - Proceedings of 2nd International Conference on Computer Science and Network Technology, ICCSNT 2012
SP - 772
EP - 776
BT - Proceedings of 2nd International Conference on Computer Science and Network Technology, ICCSNT 2012
T2 - 2nd International Conference on Computer Science and Network Technology, ICCSNT 2012
Y2 - 29 December 2012 through 31 December 2012
ER -