• Infrared Technology
  • Vol. 43, Issue 7, 658 (2021)
Chuandong LI1、2, Wangming XU1、2、3、*, and Shiqian WU1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    LI Chuandong, XU Wangming, WU Shiqian. Real-Time Pedestrian Detection Based on the Weak Saliency Map in Thermal Infrared Images[J]. Infrared Technology, 2021, 43(7): 658 Copy Citation Text show less
    References

    [2] CAI Y, LIU Z, WANG H, et al. Saliency-based pedestrian detection in far infrared images[J]. IEEE Access, 2017, 5: 5013-5019.

    [3] Ko B C, Kim D Y, Nam J Y. Detecting humans using luminance saliency in thermal images[J]. Optics Letters, 2012, 37(20): 4350-4352.

    [4] MA Y, WU X, YU G, et al. Pedestrian detection and tracking from low-resolution unmanned aerial vehicle thermal imagery[J]. Sensors, 2016, 16(4): 446.

    [5] Jeon E S, Choi J S, Lee J H, et al. Human detection based on the generation of a background image by using a far-infrared light camera[J]. Sensors, 2015, 15(3): 6763-6788.

    [7] LIU J, ZHANG S, WANG S, et al. Multispectral deep neural networks for pedestrian detection[J/OL]. arXiv preprint, 2016, https://arxiv.org/pdf/ 1611.02644.pdf. http://opticsjournal.net/Articles/abstract?aid=OJ2005120001731w4z7C

    [8] Wagner J, Fischer V, Herman M, et al. Multispectral pedestrian detection using deep fusion convolutional neural networks[C]//24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2016: 509-514.

    [9] Ghose D, Desai S M, Bhattacharya S, et al. Pedestrian Detection in Thermal Images using Saliency Maps[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019: 988-997.

    [10] HE Y, XU D, WU L, et al. LFFD: A Light and Fast Face Detector for Edge Devices[J/OL]. arXiv preprint, 2019, https://arxiv.org/abs/ 1904.10633v1.

    [11] HOU Q, CHENG M M, HU X, et al. Deeply supervised salient object detection with short connections[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017: 3203-3212.

    [12] Socarrás Y, Ramos S, Vázquez D, et al. Adapting pedestrian detection from synthetic to far infrared images[C]//ICCV–Workshop Visual Domain Adaptation and Dataset Bias, 2013: 1-3.

    [13] González A, Fang Z, Socarras Y, et al. Pedestrian detection at day/night time with visible and fir cameras: A comparison[J]. Sensors, 2016, 16(6): 820.

    [14] Redmon J, Farhadi A. Yolov3: An incremental improvement[J/OL]. arXiv preprint, 2018,https://arxiv.org/pdf/1804.02767.pdf.

    LI Chuandong, XU Wangming, WU Shiqian. Real-Time Pedestrian Detection Based on the Weak Saliency Map in Thermal Infrared Images[J]. Infrared Technology, 2021, 43(7): 658
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