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:
--
Past Student Reports
  Gia Thuan NGO in s2, 2013
Objects Classification and Event Detection in Surveillance Video.
 

Download report from the CSE Thesis Report Library

NOTE: only current CSE students can login to view and select reports to download.