| Summary: | 碩士 === 國立中正大學 === 電機工程研究所 === 88 === The recognition algorithm of low-resolution (64x64 pixels) infrared image applied for home security system is presented in this thesis. Our recognition targets are humans, dogs and cats, because of the application for home security system. There are three procedures of our recognition algorithm: pre-processing, feature extraction and statistical pattern recognition. At first, in the pre-processing procedure, we threshold the image and label the object. The purpose of this procedure is to filter out noise and extract the object that we want to recognize. Secondly, we extract three features (standard deviations of vertical and horizontal projection histogram and ratio of area and perimeter) form the object got from pre-processing procedure. Finally, we create the Gaussian probability model and use this model to recognize the object with statistical pattern recognition method. The recognition result shows our recognition algorithm can effectively discriminate humans for dogs or cats. Besides, we design a digital signal processor-based circuit according to the need of home security system, and implement our recognition algorithm on the circuit.
|
|---|
