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
Fig. 2. The mode background modeling process:(a)input image sequence,(b)grayscale change curve,(c)gray histogram
Fig. 5. The schematic diagram of S_MBLBP:(a)improved S_MBLBP,(b)S_MBLBP with a target
Fig. 6. 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
Fig. 7. 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
Fig. 8. Processing results of different algorithms in complex scenarios:(a)skating,(b)snowfall,(c)overpass,(d)canoe
Fig. 9. The processing results of different algorithms in the infrared scene:(a)dining room,(b)lake side,(c)library,(d)park,(e)corridor
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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
Category: Research Articles
Received: Aug. 10, 2021
Accepted: --
Published Online: Jul. 8, 2022
The Author Email: Fan-Ming LI (lfmjws@163.com)