Thesis Topic Details
Topic ID: |
610 | |
Title: |
Night-time Vehicle Detection and Tracking in Surveillance Video | |
Supervisor: |
Jian Zhang | |
Research Area: |
Computer Vision | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Wei Wang | |
| Topic Details | ||
Status: |
Active | |
Type: |
Development | |
Programs: |
CS CE BIOM BINF SE | |
Group Suitable: |
No | |
Industrial: |
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Pre-requisites: |
C/C++, Advanced Math, and course subjects mentioned in the project description | |
Description: |
Advanced traffic monitoring system, through automatic analysis of traffic surveillance video, can provide information to significantly improve traffic management and reduce traffic delay and incidents. The Multimedia and Video Communication (MMVC) team in NICTA has been working closely with the NSW's Road and Traffic Authority to develop such an intelligent system. The goal of this project is to online detect and track moving vehicles captured by a road-side camera at night. The tasks of this project include understanding the existing nighttime vehicle detection and tracking methods combined with NICTA's approach and developing test software of algorithms to test video sequences captured in various conditions. This is a challenging and exciting project. You will have access to the state-of-art video processing tools and facilities. You will find that the knowledge which you have learned from your courses will be extremely useful in this project. Your programming skills will also be greatly enhanced by doing this project. | |
Comments: |
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| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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