Journal of Infrared and Millimeter Waves, Volume. 41, Issue 3, 639(2022)

Fast moving target detection algorithm based on LBP texture feature in complex background

Li-Ya QIU1,2,3, Wei-Lin CHEN1,2,3, Fan-Ming LI1,3、*, Shi-Jian LIU1,3, Zheng LI1,3, and Chang TAN1,2,3
Author Affiliations
  • 1Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China
  • 2University of Chinese Academy of Sciences,Beijing 100049,China
  • 3Key Laboratory of Infrared System Detection and Imaging Technology,Chinese Academy of Sciences,Shanghai 200083,China
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    Figures & Tables(13)
    The algorithm flow chart
    The mode background modeling process:(a)input image sequence,(b)grayscale change curve,(c)gray histogram
    Background modeling results of different algorithms
    Original MBLBP of frame 265 and frame 266
    The schematic diagram of S_MBLBP:(a)improved S_MBLBP,(b)S_MBLBP with a target
    The foreground target extraction:(a)gray value change diagram and gray histogram,(b)LBP value change diagram and LBP histogram,(c)foreground extraction process,(d)LBP background modeling
    Comparison results between the proposed algorithm and various LBP algorithms:(a)comparison of different LBP algorithms in Skating,(b)comparison of moving object extraction results from different LBP algorithms in Skating,(c)comparison of different LBP algorithms in Lakeside,(d)comparison of moving object extraction results from different LBP algorithms in Lakeside
    Processing results of different algorithms in complex scenarios:(a)skating,(b)snowfall,(c)overpass,(d)canoe
    The processing results of different algorithms in the infrared scene:(a)dining room,(b)lake side,(c)library,(d)park,(e)corridor
    Comparison of different algorithms in 9 scenarios
    • Table 1. Average processing time of visible light datasets

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      Table 1. Average processing time of visible light datasets

      数据集

      名称

      blizzardskatingsnowFallcanoeoverpass

      尺寸

      平均用时

      720*480

      70.9077ms

      540*360

      33.7383ms

      720*480

      59.4381ms

      320*240

      48.2896ms

      320*240

      50.9535ms

    • Table 2. Average processing time of infrared datasets

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      Table 2. Average processing time of infrared datasets

      数据集

      名称

      corridordiningRoomlakeSidelibrarypark

      尺寸

      平均用时

      320*240

      27.8161 ms

      320*240

      18.246 ms

      320*240

      23.6167 ms

      320*240

      25.8494 ms

      320*240

      54.8535 ms

    • Table 3. Evaluation index results of different algorithms

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      Table 3. Evaluation index results of different algorithms

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    Li-Ya QIU, Wei-Lin CHEN, Fan-Ming LI, Shi-Jian LIU, Zheng LI, Chang TAN. Fast moving target detection algorithm based on LBP texture feature in complex background[J]. Journal of Infrared and Millimeter Waves, 2022, 41(3): 639

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    Paper Information

    Category: Research Articles

    Received: Aug. 10, 2021

    Accepted: --

    Published Online: Jul. 8, 2022

    The Author Email: Fan-Ming LI (lfmjws@163.com)

    DOI:10.11972/j.issn.1001-9014.2022.03.016

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