Object Tracking using End-to-End Detection and Deep Association Metric

Abstract

Object Tracking has multiple major applications such as video surveillance for se- curity, traffic control, contact tracing, human computer interaction, gesture recog- nition, augmented reality, video editing, robotics etc. Often, to perform real-time tracking, video surveillance applications forgo detection accuracy in favour of de- tection speed. This paper proposes a combination of object detection and object tracking algorithms that gives an improvement on both detection accuracy and speed compared to existing video surveillance solutions. It also includes a method to trace the movement of a target from video surveillance footage and visualise the target’s path on a 2D map