• Laser & Optoelectronics Progress
  • Vol. 55, Issue 11, 111007 (2018)
Qing Tian1, Tongyang Yuan1、*, Dan Yang1, and Yun Wei2
Author Affiliations
  • 1 School of Electronic Information Engineering, North China University of Technology, Beijing 100144, China
  • 2 Beijing Urban Construction Design & Development Group Co., Ltd., Beijing 100037, China;
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    DOI: 10.3788/LOP55.111007 Cite this Article Set citation alerts
    Qing Tian, Tongyang Yuan, Dan Yang, Yun Wei. A Pedestrian Detection Method Based on Dark Channel Defogging and Deep Learning[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111007 Copy Citation Text show less
    References

    [1] Sermanet P, Kavukcuoglu K, Chintala S et al. Pedestrian detection with unsupervised multi-stage feature learning. [C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3626-3633(2013).

    [2] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017). http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2577031

    [3] LeCun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 521, 436-444(2015).

    [4] Chen Y, Fan R S, Wang J X et al. Cloud detection of ZY-3 satellite remote sensing images based on deep learning[J]. Acta Optica Sinica, 38, 0128005(2018).

    [5] Guo H, Xu X T, Li B. Study on image dehazing methods based on dark channel prior[J]. Acta Optica Sinica, 38, 0410002(2018).

    [6] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011). http://dl.acm.org/citation.cfm?id=2068459.2068579

    [7] Ye G L, Sun S Y, Gao K J et al. Nighttime pedestrian detection based on faster region convolution neural network[J]. Laser & Optoelectronics Progress, 54, 081003(2017).

    [8] Gupta S, Girshick R, Arbeláez P et al. Learning rich features from RGB-D images for object detection and segmentation. [C]∥European Conference on Computer Vision, 345-360(2014).

    [9] Yang A P, Bai H H. Nighttime image defogging based on the theory of Retinex and dark channel prior[J]. Laser & Optoelectronics Progress, 54, 041002(2017).

    [10] Wang K, Dong Y, Bai H L et al. Use fast R-CNN and cascade structure for face detection. [C]∥Visual Communications and Image Processing (VCIP), 1-4(2016).

    [11] Eggert C, Brehm S, Winschel A et al. A closer look: small object detection in faster R-CNN. [C]∥IEEE International Conference on Multimedia and Expo (ICME), 421-426(2017).

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    [1] Huan Liu, Chungeng Li, Jubai An, Guo Wei, Junli Ren. Multiple Object Tracking Based on Kernelized Correlation Filter[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121501

    Qing Tian, Tongyang Yuan, Dan Yang, Yun Wei. A Pedestrian Detection Method Based on Dark Channel Defogging and Deep Learning[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111007
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