Acta Optica Sinica, Volume. 39, Issue 1, 0110001(2019)

Video Saliency Detection Method Based on Spatiotemporal Features of Superpixels

Yandi Li* and Xiping Xu*
Author Affiliations
  • College of Photoelectrical Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    Figures & Tables(6)
    Flow chart of proposed method
    Illustration of spatiotemporal gradient map generation
    Detection results by six different saliency detection methods. (a) Original image; (b) annotation image; (c) TMP method; (d) PQFT method; (e) ITTI method; (f) SR method; (g) SCUW method; (h) proposed method
    Detection results by six different motion detection methods. (a) Original image; (b) silhouette; (c) TFD; (d) ViBe; (e) KDE; (f) MoG; (g) TFD+BS; (h) proposed method
    P-R curves by different saliency detection methods
    Fβ by different methods. (a) Saliency detection; (b) moving target detection
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    Yandi Li, Xiping Xu. Video Saliency Detection Method Based on Spatiotemporal Features of Superpixels[J]. Acta Optica Sinica, 2019, 39(1): 0110001

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    Paper Information

    Category: Image Processing

    Received: Jul. 10, 2018

    Accepted: Aug. 13, 2018

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201939.0110001

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