Detecting moving shadows: algorithms and evaluation
University of Modena and Reggio Emilia · Robotics Research (United States)
Abstract
Moving shadows need careful consideration in the development of robust dynamic scene analysis systems. Moving shadow detection is critical for accurate object detection in video streams since shadow points are often misclassified as object points, causing errors in segmentation and tracking. Many algorithms have been proposed in the literature that deal with shadows. However, a comparative evaluation of the existing approaches is still lacking. In this paper, we present a comprehensive survey of moving shadow detection approaches. We organize contributions reported in the literature in four classes two of them are statistical and two are deterministic. We also present a comparative empirical evaluation of…
Citation impact
- FWCI
- 24.52
- Percentile
- 100%
- References
- 36
Authors
4Topics & keywords
- Computer science
- Robustness (evolution)
- Shadow (psychology)
- Artificial intelligence
- Benchmark (surveying)
- Computer vision
- Object detection
- Video tracking
- Reduced inequalities