遠程視頻監(jiān)控系統(tǒng)外文翻譯-其他專業(yè)-全文預(yù)覽
【正文】 using temporal consistency constraints. Further classification of human activity, such as walking and running, has also been achieved. Geolocations of labeled entities are determined from their image coordinates using either widebaseline stereo from two or more overlapping camera views, or intersection of viewing rays with a terrain model from monocular views. These puted locations feed into a higher level tracking module that tasks multiple sensors with variable pan, tilt and zoom to cooperatively and continuously track an object through the scene. All resulting object hypotheses from all sensors are transmitted as symbolic data packets back to a central operator control unit, where they are displayed on a graphical user interface to give a broad overview of scene activities. These technologies have been demonstrated through a series of yearly demos, using a testbed system developed on the urban campus of CMU. Detection of moving objects in video streams is known to be a significant, and difficult, research problem. Aside from the intrinsic usefulness of being able to segment video streams into moving and background ponents, detecting moving blobs provides a focus of attention for recognition, classification, and activity analysis, making these later processes more efficient since only “moving” pixels need be considered. There are three conventional approaches to moving object detection: temporal differencing 。 data logging and retrieval mechanisms to support 24/7 system operations。 and and selection of “best views” with the eventual goal of recognizing individuals in the scene. 遠程 視頻監(jiān)控系統(tǒng) 在美國國防部高級研究計劃局，視頻監(jiān)控系統(tǒng)項目下進行的一系列監(jiān)控裝置研究是一項合作性的多層傳感監(jiān)控，用以支持戰(zhàn)場決策。 自動視頻監(jiān)控在商業(yè)領(lǐng)域同樣也是一個重要的研究課題。盡管避免犯罪還有許多其他的選擇，但現(xiàn)在需要的是連續(xù) 24小時的監(jiān)測和分析數(shù)據(jù)，由視頻監(jiān)控系統(tǒng)提醒保安人員，及時發(fā)現(xiàn)正在進行的盜竊案，或游蕩在停車場的可疑人員。被測物體分為語義類別，如人力，人力組，汽車和卡車使用形狀和顏色分析，這些標(biāo)簽是用來改善跟蹤一致性使用時間限制。所有產(chǎn)生的對象假設(shè)所有
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