| Title | Vehicle Counting Module Design in Small Scale for Traffic Management in Smart City |
|---|---|
| ID_Doc | 37334 |
| Authors | Trivedi, J; Devi, MS; Dhara, D |
| Title | Vehicle Counting Module Design in Small Scale for Traffic Management in Smart City |
| Year | 2018 |
| Published | |
| Abstract | 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, Morpholog-y, 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. Here simulation results check for Ahmedabad, Chennai, Bangalore, Mumbai traffic related video available with different resolution on YouTube. Also with night traffic conditions. For, Ahmedabad Traffic video, simulation results validate using recall, precision, and F1 parameter. |
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