Race Car Recognition (TAKEN)
Synopsis: Recognizing race cars by combining different pattern detectors
Race cars have various indicators, such as company logos, race car id number, license plate etc., on them. We can uniquely identify a race car by detecting and recognizing these indicators. In this project you will:
- Find out what kinds of features might help us distinguish different race cars
- Investigate what kind of detectors we need to accurately and quickly recognize a race car using one or multiple photographs
- Evaluate the complexity and accuracy of these detectors
- Combine these detectors to get a final recognizer
Deliverables: The final deliverables for the project will be a final report on the work done, and implemented algorithms that can perform the proposed methods on the image.
Prerequisites: Knowledge in image processing, programming with MATLAB for signal processing, basic understanding of machine learning and computer vision.
Type of work: 40% research and 60% implementation.
Number of students: 1.
Level: BS, semester project, Computer Science of Communnication Systems.
Supervisor: Gokhan Yildirim (firstname.lastname@example.org)