Vehicle Tracking and Speed Measurement system (VTSM) based on novel feature descriptor: Diagonal Hexadecimal Pattern (DHP)

Object detection and tracking is an important and active research area in computer vision community. The proposed Vehicle Tracking and Speed Measurement (VTSM) system can find out speed parameters of the vehicles. Speed parameters are used to take judgment on accidents at a low cost. The main objective of this paper is to develop an algorithm that can detect foreground, track specified object and calculate speed parameter of the object. Identifying stationary background from moving objects in a video is a critical task. To achieve superior foreground detection quality across unconstrained scenarios, a novel dynamic background subtraction and object tracking algorithm using a novel Diagonal Hexadecimal Pattern (DHP) is proposed. Metric F-score and MOTA are used to measure the performance of the proposed system. From the results, it is observed that the proposed system gives good results for the background subtraction and tracking.