Class Wise Object Tracking Using Simple Online Real-Time Tracking


Authors : Amit Kumar, Arpana Alka, Jyoti Prakash Sahoo, Nimai Chand Das Adhikari

Volume/Issue : Volume 5 - 2020, Issue 6 - June

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3djDko8

One of the most important problems every country is facing to solve is the immense addition of the traffic to increase burden if smooth management. This research revolves around solving and maintaining the traffic solution like congestion, idle road, emergency etc. by using the help of traffic surveillance camera. In this research, we are trying to make an efficient object tracking solution called as Class Wise Object Tracking Algorithm (CWOT). The conventional SORT (Simple Online Realtime Tracking) does not take class IDs of detected objects which the proposed methodology takes into account. This methodology describes the detection, accelerating speed of the detection, propagating object states into the future frames and then associating current detections with the existing objects using SORT (Simple Online Realtime Tracking). Then generated IDs via SORT are tagged to object detection class IDs using this algorithm. YOLOv3 is used for the different object detection in real-time.

Keywords : YOLOv3, SORT, MOT, Object Detection, Multi-Object Tracking, Smart Traffic Management Systems

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