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Fast Metric Multi-Object Vehicle Tracking for Dynamical Environment Comprehension

Tracking can be defined as the problem of estimating the trajectory of an object in image sequence as it moves around a scene. In other words, a tracker assigns consistent labels to the tracked objects in different frames of a video. One of the most widely used technique to this task is the Kalman filter. This paper presents a car tracker using Kalman filter and optical flow, which shows excellent results and low processing time.