Shadow elimination based on multiple feature differences and glvq
- Resource Type
- Conference
- Authors
- Hu, Yaomin; Liu, Weiming
- Source
- 2021 13th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) ICMTMA Measuring Technology and Mechatronics Automation (ICMTMA), 2021 13th International Conference on. :872-877 Jan, 2021
- Subject
- Computing and Processing
Mechatronics
Automation
Lighting
Object detection
Feature extraction
Stability analysis
Classification algorithms
shadow elimination
multiple feature differences
moving object detection
- Language
- ISSN
- 2157-1481
Aimed at problem of that shadow elimination methods based on model or single feature are all having inherent drawbacks. A shadow removal algorithm based on multiple feature differences between pixels and the reference background pixels is proposed. The multi feature differences of the current pixel and the corresponding pixel of the background are inputted into GLVQ to classify the current pixel.The experiments proved the proposed method has better performance than that of some other methods.