Abstract:
Moving object’s cast shadow removal is the
active and challenging research area in computer
vision and digital image processing. Removing cast
shadow is the primary step for object tracking and
segmentation system. Shadow cause false classification
and shape distortion. So, the system is proposed to
remove the moving object’s cast shadow in the outdoor
environment. In the system, background modeling is
initially performed by averaging the movement regions.
After background modeling, foreground objects are
extracted using the background subtraction method.
Frame normalization, V channel of HSV color space,
Otsu thresholding approach, morphological processing
and region properties are employed to detect the cast
shadow region. After shadow detection, the shadow is
removed based on previous background model.
Experimental results show the proposed method can
detect and remove cast shadow region properly.
