Robust moving object tracking and trajectory prediction for visual navigation in dynamic environments

We propose a robust and efficient moving object detection system with trajectory prediction mechanism for mobile visual applications in dynamic environments. The navigation system not only supports intelligent moving object detection and collision avoidance, but also provides automatic trajectory prediction mechanism to create a safe environment for the user. To take into account recognition challenges in practice, the system addresses problems of camera shake and image blurs caused by mobile camera and fast moving objects, respectively. Experimental results show our system supports 97.1% detection rate for fast moving objects and achieves high accuracy of trajectory prediction with error estimation less than 16.5 cm.