Improvement moving vehicle detection using RGB removal shadow segmentation

Author

Ahmad, K.A. ; Noor, M. H Mohd ; Hussain, Z. ; Idin, M. A Mohd ; Abdullah, Noramalina

Author_Institution

Fac. of Electr., Univ. Teknol. MARA, Shah Alam, Malaysia

fYear

2011

fDate

25-27 Nov. 2011

Firstpage

22

Lastpage

26

Abstract

The detection of moving object in dynamic case especially outdoor case is very challenging for computer vision. One of the problems in dynamic case is detection of shadow in moving object. This paper presents the improvement of moving vehicle detection using removal shadow technique in RGB color space and frame difference technique. In RGB color space, the luminance and chrominance value are being tuned to remove shadow. The result shows about 75% of shadow can be removed from image moving object detection. The result also shows the improvement of moving object detection.

Keywords

computer vision; image colour analysis; image motion analysis; object detection; vehicles; RGB color space; RGB removal shadow segmentation; computer vision; frame difference technique; moving object detection; moving vehicle detection; Accuracy; Adaptation models; Conferences; Image color analysis; Noise; Object detection; Vehicle detection; Frame Differencing; Moving object detection; RGB color space; Shadow Removal;

fLanguage

English

Publisher

ieee

Conference_Titel

Control System, Computing and Engineering (ICCSCE), 2011 IEEE International Conference on

Conference_Location

Penang

Print_ISBN

978-1-4577-1640-9

Type

conf

DOI

10.1109/ICCSCE.2011.6190489

Filename

6190489