关键词: 实例分割, 道路检测, 图像拟合, 遮挡, 透视

Abstract:

Taking the road under the influence of occlusion and perspective in the surveillance video as the research object, aiming at the difficult problem of vanishing point detection and instance segmentation under segmentation caused by the occlusion of pedestrian and driving on the road boundary line, an improved instance segmentation road detection method is proposed. Firstly, the road area is extracted by instance segmentation, and then the convex hull algorithm is used to compensate the occlusion of pedestrians and driving on the road boundary line. Finally, the road area is simulated into a trapezoid model which conforms to the scene structure, so as to optimize the detection of the road. The experimental results show that this method can solve the problem that the road is affected by occlusion and perspective, which leads to inaccurate detection. It can meet the needs of road detection under the security monitoring video, and has practical significance.

Key words: instance segmentation, road detection, image fitting, occlusion, perspective