Abstract: A video object segmentation method takes advantage of edge and color features in conjunction with edge detection and change detection to improve the accuracy of video object segmentation for rainy situations. The video object segmentation method of the present invention includes analyzing HSI-color information of the initially extracted objects to obtain features of the moving object; performing edge detection to obtain edges of the moving object for reducing the effect of confusing raindrops with moving objects in rainy dynamic background; performing object region detection to generate an accurate object mask for solving the uncovered-background problem and the still-object problem; and employing a bounding-box based matching method for solving the reflection problem of the moving object in the rained ground.

Abstract: A video object segmentation method takes advantage of edge and color features in conjunction with edge detection and change detection to improve the accuracy of video object segmentation for rainy situations. The video object segmentation method of the present invention includes analyzing HSI-color information of the initially extracted objects to obtain features of the moving object; performing edge detection to obtain edges of the moving object for reducing the effect of confusing raindrops with moving objects in rainy dynamic background; performing object region detection to generate an accurate object mask for solving the uncovered-background problem and the still-object problem; and employing a bounding-box based matching method for solving the reflection problem of the moving object in the rained ground.