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Title: Video surveillance system for tracking human activity
Authors: Nguyen, Hung Phuong.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2010
Abstract: 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.
Schools: School of Computer Engineering 
Research Centres: Centre for Multimedia and Network Technology 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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