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
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;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1009088
