Details
Record ID
stcompfyp:104
Title
A bird recognizer based on particle swarm optimization
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Ho, Ting Hong Tomy (creator)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
School / Unit
School of Science and Technology (S&T) 
Program
Bachelor of Science with Honours in Computing
Date
2013
Abstract
The aim of this project is to develop a bird recognizer based on particle swarm optimization. Our target is to recognize the 21 kinds of common wild birds seen in Hong Kong urban parks which are listed by Leisure and Cultural Services Department of the Hong Kong Government.
Type of Resource
PDF
Language
English
Physical Description
5 pages.
Keywords
artificial intelligence; intelligent systems; birds in Hong Kong; Particle swarm optimization (PSO); machine learning algorithms; perceptual hashing
Access Eligibility
Public Access
Permanent Link