Shadow Removal Based on Shadow Direction and Shadow Attributes

Author

Lu, Yinghua ; Xin, Huijie ; Kong, Jun ; Li, Bingbing ; Wang, Yan

Author_Institution

Comput. Sch., Northeast Normal Univ., Jilin

fYear

2006

fDate

Nov. 28 2006-Dec. 1 2006

Firstpage

37

Lastpage

37

Abstract

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.

Keywords

estimation theory; image motion analysis; object detection; sampling methods; tracking; traffic engineering computing; intelligent traffic system; moving object tracking system; moving shadow removal; shadow attributes; shadow direction estimation; shadow points sampling; Cameras; Computational intelligence; Laboratories; Layout; Object detection; Shape measurement; Statistics; Surveillance; Traffic control; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

0-7695-2731-0

Type

conf

DOI

10.1109/CIMCA.2006.196

Filename

4052683