• Acta Optica Sinica
  • Vol. 39, Issue 1, 0110001 (2019)
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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    DOI: 10.3788/AOS201939.0110001 Cite this Article Set citation alerts
    Yandi Li, Xiping Xu. Video Saliency Detection Method Based on Spatiotemporal Features of Superpixels[J]. Acta Optica Sinica, 2019, 39(1): 0110001 Copy Citation Text show less
    Flow chart of proposed method
    Fig. 1. Flow chart of proposed method
    Illustration of spatiotemporal gradient map generation
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. 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
    Fig. 5. P-R curves by different saliency detection methods
    Fβ by different methods. (a) Saliency detection; (b) moving target detection
    Fig. 6. Fβ by different methods. (a) Saliency detection; (b) moving target detection
    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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