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基于自適應背景的目標跟蹤算法研究
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浙江安防職業(yè)技術(shù)學(xué)院,浙江省溫州大學(xué)

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2013年浙江省自然科學(xué)基金資助項目,項目編號:LY13F010007;2016年溫州市科技計劃項目,項目編號:G20160029


Research on target tracking algorithm based on adaptive background
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Zhejiang College of Security Technology,Zhejiang Province,SwenzhouSuniversity,Zhejiang Province China

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    摘要:

    隨著(zhù)現在的社會(huì )發(fā)展以及經(jīng)濟進(jìn)步,我國的科學(xué)技術(shù)方面發(fā)展迅速,特別是在技術(shù)監控方面更是突飛猛進(jìn)。為了更好的對目標遮擋影響進(jìn)行降低,我國在這方面主要依據自適應的技術(shù)發(fā)展背景下提出目標跟蹤計算法,用來(lái)完善我國的監督控制技術(shù)。這種計算方式第一是根據對觀(guān)察目標的基本外觀(guān)形態(tài)進(jìn)行的鑒定與跟蹤,將其自身的運動(dòng)量進(jìn)行平均計算;其次是根據時(shí)空的運行方向與特征進(jìn)行跟蹤目標的計算,建立比較完善整體的運行模型,再根據這個(gè)運動(dòng)模型以及整體的狀態(tài)對監督目標進(jìn)行檢測與控制,這期間就會(huì )形成一種遮擋掩膜。對于掩膜是一種將程序數據等繪制成光刻板,在程序使用期間非常可靠,并且制造成本比較低,使用方便;最后是在不同的使用情況下將不同參數進(jìn)行收集,自動(dòng)的適應運動(dòng)模型的運行。針對這種計算方式的實(shí)驗主要是利用兩種在國際上經(jīng)常使用的CAVIAR、York數據進(jìn)行測試,并且根據這兩種數據對測試的精準度與多重目標跟蹤等進(jìn)行評定,檢測跟蹤的整體性能。通過(guò)多方面的研究表明這種方式的跟蹤的性能非常好,并且還能很好的將跟蹤目標的魯棒性進(jìn)行遮擋。

    Abstract:

    With the social development and economic progress, China's rapid development of science and technology, especially in terms of technical monitoring is a rapid development. In order to reduce the impact of the target occlusion, the target tracking algorithm is proposed based on the adaptive technology development in this area, which is used to improve the supervision and control technology of our country. This calculation is based on the identification and tracking of the first appearance of the basic observation of targets, will exercise its own for the average; second is calculated according to the running direction of the space target tracking and characteristics, to establish a complete model of the whole operation, according to the motion model and the whole state detection and control of the supervision of the target, this period will form an occlusion mask. The mask is a program data mapping into light rigid, very reliable in the program during use, and the manufacturing cost is relatively low, easy to use; the last is used in different situations with different parameters were collected, to adapt to the motion model of automatic operation. According to this calculation experiment is the use of two kinds of CAVIAR, York data is often used in the international test, and according to these two kinds of data to test the accuracy and multiple target tracking evaluation, the overall performance of detection and tracking. Through a number of research shows that this way of tracking performance is very good, and it can be very good to keep track of the robustness of the target.

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引用本文

吳賢平,沈良忠.基于自適應背景的目標跟蹤算法研究計算機測量與控制[J].,2017,25(4):45.

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  • 收稿日期:2016-11-15
  • 最后修改日期:2016-11-15
  • 錄用日期:2016-11-29
  • 在線(xiàn)發(fā)布日期: 2017-07-18
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