保全系統在現今已廣泛的被應用在銀行、商店、社區與重要路口等，而大部分的保全系統都使用(closed-circuit television ,CCTV)來紀錄事件的發生，然而這些傳統保全系統僅能提供事件發生後之影像資料，無法在事件發生時及時發揮警示的功能。有鑑於此，許多相關的電腦視覺技術被提出，如移動物體偵測、人體姿態分析等，用於分析人體行為的姿態分析上，主要是針對犯罪者當時動作進行分析識別，如手持刀具槍械或惡意攻擊等動作。在近年來台灣的刑事案件上，有部分的犯罪者以放置爆裂物於重要場合的方式來進行犯罪，然而目前的姿態分析技術上，並無針對放置物品這類型姿態的相關研究，因此本研究提出一放置物品之姿態偵測與分析技術，結合遺留物偵測，利用上述姿態以及遺留物品與人之間的距離等特徵，並採用計分的方式來找出疑似放置遺留物之人，如此一來，可以有效的預防犯罪的發生，也可以結合視訊檢索(content-based video retrieval ,CBVR)的技術，從錄影的監視過程中擷取出犯罪過程中可疑的片段，以協助鑑識人員蒐證有利的資訊。

Nowadays, security systems have been commonly installed in banks, shops, communities and important intersections. CCTV is adopted in most security systems to record events. Nevertheless, traditional systems can only provide image documents after events take place, but they cannot function as an alarm as events take place.Therefore, related computer visual techniques such as motion detection, Human Gesture Analysis are applied to analyze body movements and mainly focus on analyses as well as recognitions of cirminials' actions at the time, for example, actions such as knives, guns at hand or malign attacks. In terms of criminal cases in Taiwan in recent years, some criminals place explosives in important areas to have criminal conducts. However, based on the existent analytical techniques, there is no relevant regarding placement actions. Therefore, the research proposes a scanning posture and analytical technique of placement, combining with legacy scanning, use characters of the above posture and distance between legacy and people, and apply scoring system to find out the suspicious. As a result, it can efficiently prevent crimes. Cooperating CBRV techiniques and taking suspicious clips from videos can help forensic investigators collect beneficial evidence.

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