Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/75003
Title: | Human activity detection and tracking | Authors: | Ser, Desmond Kian Kiat | Keywords: | DRNTU::Engineering DRNTU::Engineering::Electrical and electronic engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
Issue Date: | 2018 | Abstract: | In this report, the objective is to study the computer vision techniques and develop a facial recognition system to track a person using a live video camera. Security is a concern for Singapore amidst the threats of terrorism in the region. To assist the authorities in their efforts to gather intelligence on suspicious characters, a human detection and tracking system powered by computer vision and machine learning can help them in their work. The report will cover the various face detection techniques and the development of a facial recognition program using Python programming language. The design of interface and tests conducted will also be evaluated at the end of the report. | URI: | http://hdl.handle.net/10356/75003 | Schools: | School of Electrical and Electronic Engineering | 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 | Size | Format | |
---|---|---|---|---|
FYP Report - Desmond Ser.pdf Restricted Access | FYP report | 34.35 MB | Adobe PDF | View/Open |
Page view(s)
295
Updated on May 7, 2025
Download(s)
16
Updated on May 7, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.