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multiple camera中文是什么意思

  • 多角攝像機(jī)
  • 多鏡頭攝影機(jī)

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  • 例句與用法
  • Multiple cameras can be synchronized within 4 microseconds
    多機(jī)拍攝時(shí),同步誤差小于4微秒
  • If your required sensor resolution does not correspond to a standard sensor resolution , choose a camera whose sensor resolution is larger than you require or use multiple cameras
    如果你所需之感應(yīng)器分辨率不是相應(yīng)于標(biāo)準(zhǔn)感應(yīng)器分辨率,選擇一個(gè)攝像機(jī)其感應(yīng)器分辨率是大于你所需要的或使用多功能攝像機(jī)。
  • To summarize : the reason why calibrating a lens does not damage its performance with multiple camera bodies is because the calibration standards for the lens are independent from the calibration standards for the body
    簡(jiǎn)而言之,鏡頭的校準(zhǔn)無(wú)損于其與多個(gè)機(jī)身配合的原因在于鏡頭的校準(zhǔn)標(biāo)準(zhǔn)是獨(dú)立于機(jī)身校準(zhǔn)標(biāo)準(zhǔn)的。
  • In this paper we make some researches on those problems above and several new approaches and algorithms are put forward . additionally , in order to test the performance of schemes worked out here , a human face detection and tracking system has been built based on multiple camera environment
    論文針對(duì)上述問(wèn)題進(jìn)行了較深入的研究,提出了一套充分考慮時(shí)間復(fù)雜度和復(fù)雜環(huán)境下的人臉檢測(cè)與跟蹤算法,并建立了以該算法為核心的多攝像機(jī)環(huán)境下人臉檢測(cè)與跟蹤系統(tǒng)。
  • Human face can provide much valuable information in the study of perceptual human - computer interface and compute vision . although many outstanding algorithms have been created in human face detection and tracking , some serious problems are still exist such as real - time detection , image segmentation , occlusion handling and multiple camera cooperation
    在智能化的人機(jī)交互過(guò)程和對(duì)計(jì)算機(jī)視覺(jué)的研究中,人臉可以提供大量有價(jià)值的信息,盡管對(duì)人臉的檢測(cè)與跟蹤已經(jīng)取得了眾多的成果,但仍存在下述幾個(gè)研究的難點(diǎn)問(wèn)題:實(shí)時(shí)性、圖像分割、遮擋處理、多攝像機(jī)使用。
  • Based on the application background of the intelligence video surveillance , this paper studies non - overlapping multi - camera based object tracking method , and the algorithm for cooperative multi - camera surveillance system . the research includes following aspects . ( 1 ) an algorithm for tracking objects across multiple cameras with disjoint views is presented
    本文以智能化視頻監(jiān)控為應(yīng)用背景,研究了基于非重疊多攝像頭的目標(biāo)跟蹤方法和監(jiān)控系統(tǒng)中的多攝像頭協(xié)同算法,主要工作包括: 1 .提出了基于非重疊多攝像頭的目標(biāo)跟蹤算法,對(duì)穿過(guò)非重疊多攝像頭的目標(biāo)進(jìn)行實(shí)時(shí)跟蹤。
  • For fast image and data transfer of real - time fully radiometric 16 - bit images , you can choose for an ieee - 1394 firewire digital output . for network and or multiple camera installations , ethernet connectivity is available . each a20 - m can be equipped with its own unique url allowing it to be addressed independently via its ethernet connection
    的便攜性連同功能強(qiáng)大的研究裝置能夠非常簡(jiǎn)易的安裝在用戶(hù)的工作臺(tái)上或攜帶到其他檢測(cè)地點(diǎn)以及難以到達(dá)的地方,便于在現(xiàn)場(chǎng)生產(chǎn)車(chē)間或?qū)嶒?yàn)室進(jìn)行快速移動(dòng)的數(shù)據(jù)采集和分析。
  • On the one hand , we have to solve the problems in single camera tracking . on the other hand , we have to deal with the new problems aroused in multi - camera system . for example , how to coordinate multiple cameras in a surveillance system to fulfil reliable tracking when a person moves from the field of view ( fov ) of one camera to the fov of another camera
    在多攝像頭智能監(jiān)控系統(tǒng)中,有許多問(wèn)題需要解決,其中關(guān)鍵的兩個(gè)問(wèn)題是:第一,需要解決單攝像頭的目標(biāo)跟蹤問(wèn)題;第二,需要處理多攝像頭系統(tǒng)中新的跟蹤問(wèn)題,如人從一個(gè)攝像頭的視野進(jìn)入另一個(gè)攝像頭的視野時(shí),如何協(xié)同多個(gè)攝像頭來(lái)可靠地跟蹤人。
  • The system adopts non - overlapped multi - camera to enlarge field of view , achieves the detection , tracking and classification of moving objects at the end of each single camera , achieves the tracking of objects across cameras using data fusion method mentioned above at the end of multiple cameras
    系統(tǒng)中采用非重疊多攝像頭擴(kuò)大視野范圍,在各單攝像頭端完成運(yùn)動(dòng)目標(biāo)的檢測(cè)、跟蹤與分類(lèi),在多攝像頭端使用目標(biāo)外形變化估計(jì)和建立路徑模型方法融合多攝像頭信息,完成運(yùn)動(dòng)目標(biāo)穿過(guò)多攝像頭的跟蹤。
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