원문정보
초록
영어
In order to prevent the moving vehicle shadows from being wrongly detected as the target, a shadow detection algorithm fusing chromaticity, brightness and edge gradient information is proposed in this paper. Specifically, shadow feature image is established according to the variation proportions of the chromaticity and the brightness of the foreground and the background of the moving target, and then the area with the maximum chromaticity is regarded as the vehicle search start point to gradually absorb the surrounding areas with the richest edge gradient so as to form the vehicle body area, and then remaining area of the foreground not containing the vehicle body is regarded as the shadow candidate area, and then the region growing method is adopted to obtain various shadow sub-areas for integration so as to form the vehicle shadow area. The experiment result shows that this method has the advantages of little manual intervention, high shadow detection rate, etc.
목차
1. Introduction
2. Establishment of Shadow Feature Image
3. Judgment of Shadow Direction
4. Selection of Shadow Candidate Area
5. Detection of Shadow Area
6. Shadow Detection Algorithm Flow
7. Experiment Result and Analysis
8. Conclusion
References