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An algorithm of background extracting from low updated-rate CCTV image sequences

机译:低更新率闭路电视图像序列的背景提取算法

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Closed-Circuit Television (CCTV) images are potential data source of Intelligent Transportation Systems (ITS). However, these images sequence's interval is from 2s to 300s, so it is difficult to extract background from these images sequences by conventional methods, let alone to directly estimated traffic information. In order to make use of such online low updated-rate CCTV image sequences, a background extract algorithm is proposed to subtract background from CCTV image sequence. The proposed method has been examined with data collected at one selected locations in Hong Kong under different traffic conditions. It is shown that the proposed algorithm can obtain satisfactory result.
机译:闭路电视(CCTV)图像是智能交通系统(ITS)的潜在数据源。然而,这些图像序列的间隔是从2s到300s,因此很难通过常规方法从这些图像序列中提取背景,更不用说直接估计交通信息了。为了利用这种在线低更新率CCTV图像序列,提出了一种背景提取算法,以从CCTV图像序列中减去背景。已对在不同交通状况下在香港一个选定地点收集的数据进行了研究。结果表明,该算法可以取得满意的效果。

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