Video surveillance system for tracking human activity
Nguyen, Hung Phuong.
Date of Issue2010
School of Computer Engineering
Centre for Multimedia and Network Technology
The objective of this project is to develop a state-of-the-art video surveillance system which is able to categorize different types of human action in complex background environment. The system makes use of multiple interest point detectors to obtain a large number of features, estimates motion vectors using optical flows and SIFT based matching, correct motion of these features by segmentation and homography estimation, then finally train and test data using vocabulary tree.
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Final Year Project (FYP)
Nanyang Technological University