Title :
Detection of vehicle occlusion using a generalized deformable model
Author :
Yung, Nelson H C ; Lai, Andrew H S
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
fDate :
31 May-3 Jun 1998
Abstract :
This paper presents a vehicle occlusion detection algorithm based on a generalized deformable model. A 3D solid cuboid model with up to six vertices is employed to fit any vehicle images, by varying the vertices for a best fit. The advantage of using such a model is that the number of parameterized vertices is small which can be easily deformed. Occlusion is detected by recording the changes in the Area Ratio and the dimensions of the generalized deformable model. Our tests show that the new modeling algorithm is effective in detecting vehicle occlusion
Keywords :
image processing; road traffic; road vehicles; traffic control; 3D solid cuboid model; generalized deformable model; modeling algorithm; parameterized vertices; traffic surveillance; vehicle occlusion; Automotive engineering; Deformable models; Detection algorithms; Image segmentation; Road vehicles; Solid modeling; Surveillance; Testing; Traffic control; Vehicle detection;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.698782
