[1] Qin Jian, Wang Meihua. Fast pedestrian proposal generation algorithm using online Gaussian model［J］. Acta Optica Sinica, 2016, 36(11): 1115001.

[2] Xu Lu, Zhao Haitao, Sun Shaoyuan. Monocular infrared image depth estimation based on deep convolutional neural networks［J］. Acta Optica Sinica, 2016, 36(7): 0715002.

[3] Xu Xin, Sun Shaoyuan, Sha Yujie, et al. A method of infrared image mosaic based on improved RANSAC［J］. Laser & Optoelectronics Progress, 2014, 51(11): 111001.

[4] Zou Fangyu, Sun Shaoyuan, Xi Lin, et al. Color stereo vision method of vehicular infrared images with depth perception［J］. Laser & Optoelectronics Progress, 2013, 50(1): 011101.

[5] Dalal N, Triggs B. Histograms of oriented gradients for human detection［J］. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, 1(1): 886-893.

[6] Lin Chengzhu. Pedestrian detection based on improved boosted cascade and fusion of multiple features［D］. Xiamen: Xiamen University, 2010: 27-37.

[7] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation［J］. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014: 580-587.

[8] Girshick R. Fast-RCNN［J］. Proceedings of the IEEE International Conference on Computer Vision, 2015: 1440-1448.

[9] Uijlings J R R, Sande K E A, Gevers T, et al. Selective search for object recognition［J］. International Journal of Computer Vision, 2013, 104(2): 154-171.

[10] Ren S, He K, Girshick R, et al. Faster R-CNN: towards real-time object detection with region proposal networks［C］. Advances in Neural Information Processing Systems, 2015: 91-99.

[11] He K, Zhang X, Ren S, et al. Spatial pyramid pooling in deep convolutional networks for visual recognition［C］. European Conference on Computer Vision, 2014: 346-361.