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CSE Thesis Topic Details

Thesis Topic Details

Topic ID:
917
Title:
Automatic Vision-Based Traffic Incident Detection
Supervisor:
Jing Chen
Research Area:
Computer Vision
Associated Staff
Assessor:
Mike Bain
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE BIOM BINF SE
Group Suitable:
Yes
Industrial:
No
Pre-requisites:
C/C++
Description:
Due to the ever increasing traffic congestion at most major intersections and highways, automatic incident detection (AID) has become a main source for Traffic Management Center (TMC) to schedule the traffic control and to alleviate the traffic congestion. Using vision-based AID systems to obtain real-time incident information automatically and precisely has attract significant research focus recently. In the project, you will investigate the state-of-the-art technologies being applied in the AID system presently which comprises of three consecutive steps, i.e. vehicle detection, vehicle tracking, and activity understanding. You will implement some state-of-the-art algorithms in AID. A good C/C++ programming skill will be highly appreciated.




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