Shadow Removal Based on Shadow Direction and Shadow Attributes

Autor: Yan Wang, Jun Kong, Bingbing Li, Yinghua Lu, Huijie Xin
Rok vydání: 2006
Předmět:
Zdroj: CIMCA/IAWTIC
DOI: 10.1109/cimca.2006.196
Popis: Moving shadow removal is critical for robust moving object tracking system. A shadow removal algorithm based on shadow attributes is presented in this paper. The direction of shadow is estimated first, and then shadow points are sampled based on the direction of shadow. At last the shadow attributes is calculated using the sampled shadow points. The shadow is removed based on shadow attributes. Experimental results are presented to show that our algorithm is better than some other methods.
Databáze: OpenAIRE