Moving Object Tracking using Inverse Perspective Mapping and Optical Flow
Badr M. Almutairi · International Journal of Advanced Trends in Computer Science and Engineering · 2020
As objects moving at a pace create difficulty in identification so is the problem persisting in the moving vehicle recognition and tracking using passive vision sensor.This proposed tracking system is based on a camera mounted in a moving vehicle used to capture images to track another moving one.It considers tracking vehicles in open roads and highways.Inverse perspective mapping is adopted to extract a bird eye view of the road to subtract the standpoint results from the image.The image is then cropped and processed to extract the vehicle segment.The cropped image is returned to the camera view where the optical flow is utilized to estimate the vehicle direction and relative velocity based on the object's centroid displacement.The algorithm is tested on standard datasets as well as a new dataset created in Egypt's open roads.The results show robust tracking even with curved roads and fast computation which allow real-time processing even on embedded systems with low-computing resources.