• Electronics Optics & Control
  • Vol. 26, Issue 8, 48 (2019)
WANG Zhan1, YANG Shao-qing2, LIU Song-tao1, and SONG Yuan3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2019.08.010 Cite this Article
    WANG Zhan, YANG Shao-qing, LIU Song-tao, SONG Yuan. Accurate Target Detection Based on Salient Density and Efficient Sub-window Search[J]. Electronics Optics & Control, 2019, 26(8): 48 Copy Citation Text show less

    Abstract

    Accuracy and real-time performance are two important indexes of target detection.In order to ensure that the target is quickly and accurately detected in a variety of complex scenarios,an accurate target tracking algorithm is proposed using Hypercomplex Fourier Transform (HFT) saliency calculation,Efficient Sub-window Search (ESS) and OTSU algorithm.First,the input image is preprocessed by the HFT algorithm to obtain the saliency map.Then the target is searched globally and preliminarily located by using the efficient sub-window based on the saliency map.Then the image within the scope of the sub-window is segmented by using OTSU algorithm.Finally,the position of the sub-window is optimized according to the pixel value on the edge of the sub-window,so as to ensure accurate target detection.The experimental results show that the algorithm greatly improves the real-time performance of detection without significant increase of computing time.
    WANG Zhan, YANG Shao-qing, LIU Song-tao, SONG Yuan. Accurate Target Detection Based on Salient Density and Efficient Sub-window Search[J]. Electronics Optics & Control, 2019, 26(8): 48
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