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研究生:李建宗
研究生(外文):Chien-Tsung Lee
論文名稱:進出監視區域之行人追蹤暨識別之研究
論文名稱(外文):The Study on Tracking and Identification of Moving People for Entering & Leaving a Surveillance Area
指導教授:陳昭和陳聰毅陳聰毅引用關係
指導教授(外文):Chao-Ho (Thou-Ho ) ChenTsong-Yi Chen
學位類別:碩士
校院名稱:國立高雄應用科技大學
系所名稱:電子工程系
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:2009
畢業學年度:97
語文別:中文
論文頁數:86
中文關鍵詞:電腦視覺視訊切割色彩向量人體追蹤人員識別
外文關鍵詞:Computer VisionVideo SegmentationColor VectorPeople TrackingPeople Recognition
相關次數:
  • 被引用被引用:1
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智慧型監控保全系統是現代安全監控不可或缺的,而數位監視錄影系統的普及,取代了傳統的類比式閉路系統,但安全監控的管理仍須依靠安管人員,使得安管人員必須長時間的監看畫面。在長時間專注著螢幕之情況下,所造成的疲勞也會使安管人員的精神與體力受到考驗,而導致安全維護的效率降低。
因此本文基於電腦視覺 (computer vision) 技術開發一種可適用於自動監控保全系統中之行人追蹤暨識別方法,針對在監視區域進出、徘徊之行人進行追蹤,並自動辨別是否為可疑者。本方法主要可分為三大部份:(1)偵測模組:採用快速且有效的背景相減法(background subtraction)來偵測行人;(2)追蹤模組:對被偵測出的行人,利用其人身影像的幾何位置、面積及行人之色彩向量(color vector)等特徵,以追蹤監視區域中的行人;(3)識別模組:將單一人身影像分割成數個不重疊的區域,再各別擷取色彩向量(color-vector)作特徵描述,最後將色彩向量與空間資訊結合做行人的識別。在本實驗中,不僅對行人進行追蹤處理,也可對同一行人進出同一監視區域時,仍能夠識別行人的關係並給予對應的追蹤標籤(tag)及統計其出現次數與計算相似度。
Intelligent surveillance of security system is essential for safe monitoring in the modern. In the digital video surveillance system that replace traditional analog closed-circuit system. But surveillance of security system is still need controlled by guards. The guards need spend a lot of time to look at screen. That situation usually makes guards to feel tired for their body and mind to reduce efficiency of maintaining safety.
This article based on computer vision technology that is suitable for tracking and identifying pedestrian of automatic surveillance system. This technology aim at surveillance area entering/leaving, pedestrian tracking and automatic identify dubious person.
There are three parts in this method as below explanations.
1. Detection model: To adopt quickly and efficiently background subtraction to detect pedestrian.
2. Tracking model: To use pedestrian’s geometric position, measure of area and color-vector to track them.
3. Identification model: To divide the pedestrian’s image to several non-overlapping area then adopt each color vector to describe its characteristics. Finally, to combine color vector and space information with pedestrian’s discriminate.
In this experiment, it is not only to process pedestrian’s tracking but also identify pedestrian’s relation, provide corresponding tracking tags, count appearance times and count similarity for the same pedestrian entering and leaving the same surveillance area.
摘 要 i
ABSTRACT ii
誌 謝 iv
目 錄 v
表 目 錄 viii
圖 目 錄 ix
第一章、緒論 1
1.1 研究動機 1
1.2 研究背景 2
1.3 系統架設與流程 4
1.4 論文架構 6
第二章、相關研究 7
2.1 移動物偵測 7
2.2 常見影像分析方法 10
2.2.1 色彩分析方法 10
2.2.2 紋理分析方法 13
2.3 人體追蹤 14
第三章、移動物體偵測 17
3.1 適應性背景相減 18
3.1.1 前景區域偵測 18
3.1.2 背景模型更新 22
3.2 陰影區域移除 23
3.3 物體破碎補償與雜訊濾除 32
3.4 物體區域標記 37
第四章、特徵擷取 41
4.1 色彩特徵 42
4.2 空間特徵 49
第五章、人員追蹤與識別 53
5.1 人員追蹤模組 53
5.1.1 追蹤處理 55
5.1.2 分合情況之處理 57
5.2 人員識別模組 61
5.3 特徵比對 65
第六章、實驗結果 68
6.1 測試環境 68
6.2 實驗結果 71
6.3 識別錯誤之分析 79
第七章、結論 80
7.1 本研究方法之評析 80
7.2 未來展望 81
參考文獻 82
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