多攝影機環境下，多目標物追蹤系統之設計

Abstract

最近於公共安全環境監控領域中，監控攝影機時常被使用於紀錄社會安全、犯罪事件等之用途，像是走失人口、追蹤嫌疑犯等事件，然而當監控人員於事後調閱其影像進行查證時，往往所要調閱之攝影機數目過於龐大，逐一搜索會花費大量時間與人力，導致其搜索效率過低。故本論文針對上述問題，設計一套於多攝影機環境下多目標物追蹤系統，使用者可以於影像片段中框選欲追蹤目標物，此系統即會以此所框選之目標物進行跟蹤，以達到監控人員所需花費大量時間與人力之目的。 在此，本論文之貢獻有以下三點：第一，提出一套特徵調變機制，輔助系統追蹤不同目標物，使其更為準確。第二，提出一套攝影機追蹤權切換機制，透過追蹤目標物最後消失之位置，以及多攝影機網路之架構，判斷出下次追蹤目標物會出現之攝影機，進而提高系統追蹤效率；第三，完成一個多攝影機環境下多目標物追蹤系統之雛形，整合目標物與攝影機相關資訊於一監控畫面，使監控人員能有效地減輕事後調閱影像之負擔。

Nowadays, in the field of the public security surveillance environment, surveillance cameras are often used to record the societal security and criminal events. However, there are more surveillance cameras when the supervisors browse the video after events happen. It will cause a lot of times and human resources. According to the above-mentioned problems, this thesis designs a system which tracks the multi-object in a multi-camera network. The users can choose the objects from the video chips and the system will track them across different cameras. There are three contributions in this thesis. First, this thesis proposes a feature modulation mechanism. It can help the system track different objects accurately. Second, this thesis proposes a switching multi-camera mechanism. Though the architecture of the multi-camera network, the system determines the next camera which the objects will appear to improve the tracking efficiency. Third, this thesis completes the prototype of the multi-object in a multi-camera network. Then the system integrates the information of objects and cameras into the monitor system and reduces the burden which supervisors investigate video afterwards.