研究生: |
蔡世章 Tsai, Shih-Chang |
---|---|
論文名稱: |
基於背景消除法及團塊跟蹤達到行人計數 People Counting Based on Video Background Subtraction and Blob Tracking |
指導教授: |
林永隆
Lin, Youn-Long |
口試委員: |
郭峻因
張添烜 林永隆 王家祥 |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 資訊工程學系 Computer Science |
論文出版年: | 2013 |
畢業學年度: | 101 |
語文別: | 英文 |
論文頁數: | 32 |
中文關鍵詞: | 背景消除法 、團塊跟蹤 |
相關次數: | 點閱:2 下載:0 |
分享至: |
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行人計數是很多影像監視系統中重要的應用之一。在這篇論文當中,我們提出了藉由背景消除法以及團塊跟蹤的方式來達到自動化行人計數。背景消除法能夠取出團塊,使得團塊能以聯通成分的形式表示,而每一個團塊的質心則是用來做跟蹤的使用以達到正確的計數。我們使用單一的攝影機去錄製不同的場景下行人經過的影片以作為實驗,實驗的結果也顯示我們的方法能夠達到非常高的準確率。
People counting is one of many important applications of video surveillance systems. We propose an automatic people counting system by applying background subtraction and blob tracking on video camera output. Background subtraction identifies blobs in the form of connected components. Centroid of blobs is used to track blobs for counting. We capture video using a single overhead-mounted camera for experiment. Experimental results show that our method achieves very high accuracy.
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