Title :
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
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;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2011 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1640-9
DOI :
10.1109/ICCSCE.2011.6190489
