Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/20765
Title: Target tracking using webcams
Authors: Nyan Win.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Issue Date: 2009
Abstract: With rapid proliferation of video cameras in public places and ever decreasing price/performance ratio of computing, the ability to identify and track people creates tremendous opportunities for important business and security applications. This report presents a sub-project of the Multiple Camera Indoor Surveillance system. In this project, two webcams are connected to a computer in which C language platform with OpenCV libraries (open source) are installed and knowledge based techniques are used to track and localize a person in a predetermined area. Using built-in Haar-like feature detection classifiers in OpenCV, we can identify human faces and subtract them out of the background which is normally unchanged and is really not of interest. Haar-like features encode some information about the class (face in this project) to be detected using the existence of oriented contrasts between regions in the image.
URI: http://hdl.handle.net/10356/20765
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_nyan win.pdf
  Restricted Access
1.84 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.