跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.169) 您好!臺灣時間:2025/10/30 06:12
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:黃堃哲
研究生(外文):Huang Kuen Jer
論文名稱:具物體移動偵測功能之智慧型監控系統
論文名稱(外文):An Intelligent Surveillance System with Object Motion Detection
指導教授:李建德李建德引用關係
指導教授(外文):Jiann-Der Lee
學位類別:碩士
校院名稱:長庚大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2005
畢業學年度:93
語文別:中文
論文頁數:58
中文關鍵詞:移動偵測叢集原理區域成長監控系統嵌入式系統
外文關鍵詞:Motion detectionCluster theoremRegion growingSurveillance systemEmbedded system
相關次數:
  • 被引用被引用:1
  • 點閱點閱:259
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:2
本論文的目的在於設計一個具有物體移動偵測之嵌入式監控系統,其中主要分為兩個部分研究:一為嵌入式系統,另外一部份就是影像處理的部分。要建構一個嵌入式系統首先必須選擇出適合的開發平台,接著根據使用者的需求編譯作業系統(Embedded Linux)來管理周邊的介面,透過編譯的過程更進一步了解作業系統的架構,然後植入周邊I/O的驅動程式,藉由驅動程式來驅動硬體,然後根據系統的功能來撰寫使用者應用程式,最後再將這些處理程序作成映像檔燒錄至開發平台。在影像前處理,我們使用Video4Linux取得攝影機中的影像資訊,然後透過高斯混合模組找到適應性臨界值,透過背景差異影像、時間差異影像及比較差異影像三個影像間的邏輯關係,找到物體移動遮罩,接著以區域分割將移動的物體以矩形標示出來,然後針對背景影像適當的判斷更新區域背景,使系統能更準確的偵測出移動物體。最後整合這兩個部分完成一獨立運作具物體移動偵測功能之智慧型監控系統。
The purpose of the paper is to design an embedded surveillance system for object motion detection. The research was divided into two major parts. One is the embedded system. The other part is image process. A suitable development platform should be selected before the construction of an embedded system. After the selection procedure, an Embedded Linux was compiled based on users’ demand in order to manage peripherals. The process of the compiling assisted in synthesizing the architecture of the operating system. The drivers were chosen according the system hardware. Next, user’s application program was written according to the function of the system. The final process of the first part was to make the operating system and the application program into image files and burn them to our development kit. In image pre-process, we used Video4Linux to get the image information from the camera and calculated adaptive threshold by means of Gaussian Mixture Model. The relation of the background difference image, time difference image and comparative difference image helped find object motion mask image and draw moving objects in rectangle by region segmentation. In terms of background image, appropriate judgment to update region background facilitated more accurate detection of the system on moving object. Finally, two parts of the research were integrated to complete an independent surveillance system for object motion detection.
目錄

指導教授推薦書
口試委員審定書
長庚大學博碩士紙本論文著作授權書............................................................iii
致謝....................................................................................................................iv
中文摘要.............................................................................................................v
Abstract...............................................................................................................vi
目錄...................................................................................................................vii
圖目錄.............................................................................................................ix
表目錄.............................................................................................................xi
第一章 緒論.......................................................................................................1
1.1 研究背景與動機...................................................................................1
1.2 論文主題...............................................................................................3
1.3 論文架構...............................................................................................4
第二章 系統介紹及相關概念..........................................................................5
2.1 嵌入式系統概述...................................................................................5
2.2 作業系統...............................................................................................6
2.3 Video4Linux影像擷取.........................................................................9
2.4 色彩模型.............................................................................................12
2.4.1 色彩空間的轉換........................................................................12
2.4.2 .RGB及YUV色彩空間介紹......................................................15
第三章 物體移動偵測....................................................................................17
3.1 移動偵測方法....................................................................................17
3.2 適應性臨界值.....................................................................................20
3.3 改良式物體移動偵測.........................................................................24
3.4 區域分割.............................................................................................29
3.5 背景更新.............................................................................................31

第四章 實驗結果與討論................................................................................36
4.1 模擬實驗與實驗結果.........................................................................36
4.1.1 改良式物體偵測演算法的實驗結果........................................37
4.1.2 區域分割的實驗結果................................................................39
4.1.3 背景更新的實驗結果................................................................40
4.1.4 移動偵測的模擬結果................................................................43
4.2 嵌入式系統實驗結果.........................................................................45
4.2.1 硬體層介紹................................................................................46
4.2.2 核心層介紹................................................................................49
4.2.3 使用者層介紹............................................................................52
4.2.4 智慧型監控系統實驗結果........................................................52
第五章 結論與未來展望................................................................................55
5.1 結論...................................................................................................55
5.2 未來展望............................................................................................56
參考文獻...........................................................................................................57
參考文獻

[1]http://people.debian.org.tw/~moto/embedded/Embedded_Linux_Introduction/Embedded_System_Introduction-1.html
[2]新華電腦股份有限公司,Embedded Linux ARM9 S3C2410 (PreSOCes)上實做,全華出版社,2005
[3]http://people.debian.org.tw/~moto/embedded/Embedded_Linux_Introduction/Embedded_System_Introduction-2.html
[4]陳俊宏,Embedded Linux嵌入式系統原理與實務,學貫出版社,2003
[5]呂紹麒,「具NAS功能的ARM-Based數位錄影機」,國立交通大學電機與控制工程研究所,碩士論文,2003
[6]陸其明,DirectShow實務精選,科海電子出版社,2004
[7]Quen-Zong Wu, Bor-Shenn Jeng, “Background subtraction based on logarithmic intensities”, Pattern Recognition Letters, vol. 23, pp. 1529-1536, 2002.
[8]Cheng-Chi Chang, Tsorng-Lin Chia, Yao-Ming Wang, “A Modified Temporal Difference Method for Change Detection”, 銘傳大學國際學術研討會, pp. 315-325, 2002.
[9]Viktor Gruev, Ralph Etienne-Cummings, “Pipelined temporal difference imager”, Electronics Letters, vol. 38, pp. 315-317, 2004
[10]Jong Bae Kim, Hang Joon Kim, “Efficient region-based motion segmentation for a video monitoring system”, Pattern Recognition, vol. 24, pp. 113-128, 2003.
[11]Herrero-Jaraba Elias, Orrite-Urunuela Carlos, and Jesus Senar, “detected motion classification with a double background and a Neighborhood- based difference”, Pattern Recognition, vol. 24, pp. 2079-2092, 2003.
[12]Jong Bae Kim, Hye Sun Park, Min Ho Park, Hang Joon Kim, “A real-time Region-based Motion Segmentation Using Adaptive Thresholding and K-means Clustering”, Proceedings of the 14th Australian Joint Conference on Artificial Intelligence, pp. 213-224, 2001.
[13]L. Snidaro, G. L. Foresti, “Real Time thresholding with Euler number”, Pattern Recognition Letters, vol. 24, pp. 1533-1544, 2003.
[14]何坤鑫,「以光流為基礎之影像追循」,國立中山大學機械工程研究所,,碩士論文,2001
[15]Muratet, L., Dorcieux, S., and Meyer, J.-A, “A biomimetic reactive navigation system using the optical flow for a rotary-wing UAV in urban environment”, In Proceeding of ISR2004, CDROM ISR, Paris, 2004.
[16]陳信皇,「適應性影像分割技術於移動偵測之研究」,長庚大學資訊工程研究所,碩士論文,2004
[17]繆紹綱,數位影像處理,普林斯頓國際有限公司,2003
[18]林昌廣,「嵌入式網路監視系統」,國立交通大學電機與控制工程研究所,碩士論文,2002
[19]http://www.microtime.com.tw/English/PreSOC.htm
[20]http://www.logitech.com.tw/product/product-detail.asp?PID=00000055
[21]http://playstation2.idv.tw/iacolumns/jl000013.html
[22]http://www.smcc.demon.nl/webcam/
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top