Moving object detection for visual odometry in a dynamic environment based on occlusion accumulation
Haram Kim,Pyojin Kim,H. Jin Kim,Haram Kim,Pyojin Kim,H. Jin Kim
Detection of moving objects is an essential capability in dealing with dynamic environments. Most moving object detection algorithms have been designed for color images without depth. For robotic navigation where real-time RGBD data is often readily available, utilization of the depth information would be beneficial for obstacle recognition. Here, we propose a simple moving object detection algori...
