Vehicle Re-identification using Computer Vision and Machine Learning

This work aims to design and develop an efficient visual based vehicle re-identification system for International Road Dynamic. Vehicle re-identification, which is defined as: Identifying, classifying, and position-referencing a vehicle of interest through images/video streams collected via a network of camera stations, plays a key role towards developing intelligent transportation system.

Faculty Supervisor:

Mehran Mehrandezh;Abdul Bais

Student:

Partner:

International Road Dynamics

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

University of Regina

Program:

Accelerate

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