Evolutionary segmentation of road traffic scenes

Author

Park, Se Hyun ; Lee, Jong Kook ; Kim, Hang Joon

Author_Institution

Dept. of Comput. Eng., Kyungpook Nat. Univ., Taegu, South Korea

fYear

1997

fDate

13-16 Apr 1997

Firstpage

397

Lastpage

400

Abstract

Segmenting a car region is an essential stage in the automatic car identification. It is difficult to segment the car region correctly, because road traffic scenes are usually degraded and processing the images is computationally intensive. In this paper, we propose a method of extracting a car region based on color image processing. To segment the color image, we use a distributed genetic algorithm and a Hue-Saturation-Intensity (HSI) color space as a measure of distance. The method offers robustness in dealing with deformation of road scenes and inherent parallelism to improve processing time. A test with road scenes shows an extraction rate of 92.5%. This result suggests that the proposed method works well with real-world situations, and is pertinent to be put into practical use

Keywords

distributed algorithms; genetic algorithms; image colour analysis; image segmentation; object recognition; road traffic; automatic car identification; color image processing; distributed genetic algorithm; evolutionary segmentation; hue-saturation-intensity color space; inherent parallelism; road traffic scenes; Color; Degradation; Extraterrestrial measurements; Genetic algorithms; Image segmentation; Layout; Parallel processing; Roads; Robustness; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1997., IEEE International Conference on

Conference_Location

Indianapolis, IN

Print_ISBN

0-7803-3949-5

Type

conf

DOI

10.1109/ICEC.1997.592342

Filename

592342