Thesis Topic Details
Topic ID: |
613 | |
Title: |
Objects Classification and Event Detection in Surveillance Video. | |
Supervisor: |
Jian Zhang | |
Research Area: |
Artificial Intelligence | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Wei Wang | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
CS CE BIOM BINF SE | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
C/C++ and Java programing, Advanced Math |
|
Description: |
Object classification is a further step to object detection and tracking in understanding of video. Without object classification, we can only know something is moving in the video sequences, but don’t know what it is. With the information from object tracking and classification, it may become possible to understand the activities and events happening in the video sequences. The task of this project is to investigate the existing object classification technologies and develop one for categorizing moving vehicles or human detected from the surveillance videos. This is a challenging, but also exciting project. You have access understate the state-of-art video processing tools and facilites. The knowledge you learned from the courses of computer vision, neural network, pattern recognition and machine learning can all find their utilization in this project. Your programming skills will also be developed as you will develop a demo in software | |
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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