Thesis Topic Details

Topic ID:
1017
Title:
Pedestrian Detection Using a Cascade of Boosted Classifiers
Supervisor:
Jian Zhang
Research Area:
Computer Vision
Associated Staff
Assessor:
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE BIOM BINF SE
Group Suitable:
No
Industrial:
Pre-requisites:
Digital image processing, Computer vision, C++ programming and Advanced Math (undergraduate level, Matlab.
Description:
This project aims provide an implementation, verification and evaluation of a pedestrian detection framework proposed by Viola-Jones which is fast and robust under varying conditions by incorporating both motion and appearance in training a cascade classifiers. It is hoped that this project will serve as a foundation for other applications such as vehicle and cyclist detection; and incorporated with other image processing techniques such as tracking which would improve robustness and computational efficiency.

Comments:
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