Title :
Model-independent recovery of object orientations
Author :
Tan, T.N. ; Baker, K.D. ; Sullivan, G.D.
Author_Institution :
Dept. of Comput. Sci., Reading Univ., UK
fDate :
8/1/1997 12:00:00 AM
Abstract :
A novel algorithm is presented for determining the orientation of road vehicles in traffic scenes using video images. The algorithm requires no specific 3-D vehicle models and only uses local image gradient values. It may easily be implemented in real-time. Experimental results with a variety of vehicles in routine traffic scenes are included to demonstrate the effectiveness of the algorithm
Keywords :
road vehicles; traffic engineering computing; video signal processing; local image gradient values; model-independent recovery; object orientations; road vehicles; traffic scenes; video images; Cameras; Computer science; Feature extraction; Image segmentation; Land vehicles; Layout; Road vehicles; Robot vision systems; Traffic control; Wheels;
Journal_Title :
Robotics and Automation, IEEE Transactions on
