Abstract
In this paper, an effective method for the detection of moving cast shadow for visual traffic surveillance is proposed. Based on the cast shadow observations in luminance, chrominance, gradient density and geometry domains, a combined probability map, called shadow confidence score, of the region belonging to the shadow is deduced. The object region is then separated from its shadow according to the score. The proposed method has been further tested on images taken under different lighting conditions (sunny and cloudy), viewing angles (roadside and overhead), and vehicle sizes (small, medium and large).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2505-2510 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 4 |
| State | Published - Dec 1 2001 |
| Event | 2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States Duration: Oct 7 2001 → Oct 10 2001 |
Keywords
- Image Segmentation
- Image Sequence Analysis
- Intelligent Transportation Systems
- Shadow Detection
- Visual Traffic Surveillance
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture