DocumentCode
1715751
Title
Fuzzy measures for vehicle detection
Author
Liu, Zhi-Qiang ; Li, Xiaobo ; Ka-Ming Leung
Author_Institution
Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Vic., Australia
Volume
2
fYear
2001
Firstpage
848
Abstract
This paper presents a vehicle detection algorithm. We compute fuzzy integrals based on the evidence gathered. We have carried out extensive experiments. For all vehicles in the images, including the ones partially occluded and cut off at the image boundary, we are able to achieve a detection rate of 80% comparing with only 13% in our previous systems. For the vehicles that are almost completely visible, the detection rate was 90%.
Keywords
fuzzy set theory; image recognition; object detection; road vehicles; fuzzy integrals; fuzzy measures; image boundary; images; partially occluded objects; partially occluded vehicles; vehicle detection; Computer science; Fuzzy sets; Gray-scale; Image sequences; Noise shaping; Shape; Software engineering; Vehicle detection; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1009088
Filename
1009088
Link To Document