| 研究生: |
陳紀鼎 Chen, Ji-ding |
|---|---|
| 論文名稱: |
高斯背景建模與歐蘇技術應用於即時目標移動物追蹤系統設計與實現 Design and implementation of Real-Time Object Tracking System Using Gaussian Motion Model and Otsu Algorithm |
| 指導教授: |
廖德祿
Liao, Teh-lu |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 工程科學系 Department of Engineering Science |
| 論文出版年: | 2009 |
| 畢業學年度: | 97 |
| 語文別: | 中文 |
| 論文頁數: | 59 |
| 中文關鍵詞: | 背景相減法 、物件追踨 、歐蘇法 |
| 外文關鍵詞: | Otsu Method, Background Subtraction, Object tracking |
| 相關次數: | 點閱:64 下載:3 |
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由於電腦運算速度的提昇,近年來影像處理技術與運用也越來越廣泛,尤其以視訊會議、人臉辨識、影像追踨、電腦視覺等都有學者研究。然而在影像追蹤方面,以往的相關研究中多半以靜止的攝影機及單純的背景下來進行追蹤,其效果有限。因此,本論文以背景更新方式搭配高斯模型,並利用Otsu演算法來判斷移動目標物。系統架構,包含(1)以ARM為基礎並結合自走車之追蹤平台,透過無線網路傳送即時影像與接收控制訊號,調整自走車位置以追蹤目標物;(2)以PC為基礎之辨識平台,處理由追蹤系統傳來的即時影像,判斷目標物件位置下達控制命令,驅動追蹤系統之自走車,使得目標物件保持在即時影像的中間。經實驗結果證實,本論文提出之即時目標移動物件追蹤系統可以有效地追蹤特定移動目標物件並標定其中心位置。
Recently, the technology of image process has been widely applied into various fields such as video-conferencing, computer vision and face tracking due to the rapid growth of computer science. However, the developments of tracking systems are locked because most studies have used the still camera and the pure background. Therefore, a wireless real-time tracking system based on background subtraction, gauss motion model and Otsu algorithm is proposed in this study to identify the moving object and then pursue it. This system consists of (a) the tracking platform with ARM and robot and (b) the image recognition system, that that regulates the location of the robot to trace the object and identifies the location of the object from real-time image, respectively. In practice, the results of the study show that the proposed system can effectively trace the specific moving object and mark the object in the center of the view.
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