Image Based Digital Monitoring System
碩士 === 國立交通大學 === 機械工程系 === 88 === Many commercial CCTV security systems still need human operator for monitoring. These systems can automatically transmit and save images captured by camera. However, they can not distinguish whether or not suspicious activity is taking place in the field of view...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2000
|
Online Access: | http://ndltd.ncl.edu.tw/handle/68577834251932222776 |
id |
ndltd-TW-088NCTU0489098 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-088NCTU04890982016-07-08T04:22:40Z http://ndltd.ncl.edu.tw/handle/68577834251932222776 Image Based Digital Monitoring System 影像基礎的數位自動監控系統 Chin-Hung Li 李錦泓 碩士 國立交通大學 機械工程系 88 Many commercial CCTV security systems still need human operator for monitoring. These systems can automatically transmit and save images captured by camera. However, they can not distinguish whether or not suspicious activity is taking place in the field of view of camera. Because they can not detect suspicious activity automatically, most storage spaces are wasted on saving meaningless images. Many methods to automatically detect suspicious activity were studied recently. However, most of them are computationally too intensive to be useful in real-time system. In this paper, a modified scatter plot analysis is applied to detect variations in two consecutive picture frames. As a result, we can capture any activities taking place in the field of view of the camera. Since this method is very robust to noise, it can also tolerate variations in the luminance slightly. In addition, the experiment at result showed that this method is fast enough to be useful in a real-time system in practice. Kan-Ping Chin 金甘平 2000 學位論文 ; thesis 24 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立交通大學 === 機械工程系 === 88 === Many commercial CCTV security systems still need human operator for monitoring. These systems can automatically transmit and save images captured by camera. However, they can not distinguish whether or not suspicious activity is taking place in the field of view of camera. Because they can not detect suspicious activity automatically, most storage spaces are wasted on saving meaningless images. Many methods to automatically detect suspicious activity were studied recently. However, most of them are computationally too intensive to be useful in real-time system. In this paper, a modified scatter plot analysis is applied to detect variations in two consecutive picture frames. As a result, we can capture any activities taking place in the field of view of the camera. Since this method is very robust to noise, it can also tolerate variations in the luminance slightly. In addition, the experiment at result showed that this method is fast enough to be useful in a real-time system in practice.
|
author2 |
Kan-Ping Chin |
author_facet |
Kan-Ping Chin Chin-Hung Li 李錦泓 |
author |
Chin-Hung Li 李錦泓 |
spellingShingle |
Chin-Hung Li 李錦泓 Image Based Digital Monitoring System |
author_sort |
Chin-Hung Li |
title |
Image Based Digital Monitoring System |
title_short |
Image Based Digital Monitoring System |
title_full |
Image Based Digital Monitoring System |
title_fullStr |
Image Based Digital Monitoring System |
title_full_unstemmed |
Image Based Digital Monitoring System |
title_sort |
image based digital monitoring system |
publishDate |
2000 |
url |
http://ndltd.ncl.edu.tw/handle/68577834251932222776 |
work_keys_str_mv |
AT chinhungli imagebaseddigitalmonitoringsystem AT lǐjǐnhóng imagebaseddigitalmonitoringsystem AT chinhungli yǐngxiàngjīchǔdeshùwèizìdòngjiānkòngxìtǒng AT lǐjǐnhóng yǐngxiàngjīchǔdeshùwèizìdòngjiānkòngxìtǒng |
_version_ |
1718339564425183232 |