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CSE Thesis Topic Details

Thesis Topic Details

Topic ID:
1018
Title:
Using Machine learningTechnology on Traffic Flow Estimation
Supervisor:
Jing Chen
Research Area:
Machine Learning
Associated Staff
Assessor:
Mike Bain
Topic Details
Status:
Active
Type:
Research
Programs:
CS CE BIOM BINF SE
Group Suitable:
Yes
Industrial:
No
Pre-requisites:
C++/C.
Description:
Recent research in content based video analysis has explored the usage of machining learning technologies to achieve the semantic understanding at video sequence. This project will look into those research in image processing and machine learning technologies and uses them in a traffic density estimation application. The technologies involved in the project include image processing, data classification, machine learning, and pattern recognition. In this project, You will have a chance to get familiar with those state-of-the-art technologies, such as SVM, online SVM and HMM, and then apply them in a vehicle traffic management system developed by those NICTA researchers.
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