Car Counting using Video in Python

Currently, smart city project is running in INDIA for urban development. Under this project, intelligent transportation system (ITS) is the very significant step towards achieving the goal of reducing traffic congestion as well as different traffic monitoring applications, like - parking management, emergency vehicle detection, car speed detection, accidents detection, car counting etc. To achieve intelligent transportation system's goal for traffic monitoring, Image and video processing becomes a significant tool. In this article focus on vehicle counting, or say car counting for available online video (YouTube) using - Frame difference, Edge detection, Euclidean distance methods, Morphology, adaptive thresholding and effective prediction of center position with addition of calculation of change in positions, delta positions and Gaussian blur. To differentiate car as an object with another object, we consider here particular size for car objects or say four-wheelers objects, which are different then pedestrians available on the road, as well as different static objects-like a tree, posters available on road etc.