Infrared Technology, Volume. 43, Issue 6, 575(2021)
Infrared Pedestrian Detection in Complex Night Scenes
[1] [1] XU Z, ZHUANG J, LIU Q, et al. Nighttime FIR pedestrian detection benchmark dataset for ADAS[C]// Proceedings of Pattern Recognition and Computer Vision, 2018: 323-333.
[2] [2] TAO Y, FU D, SHU P. Pedestrian tracking for infrared image sequence based on trajectory manifold of spatio-temporal slice[J]. Multimedia Tools and Applications, 2017, 76: 11021-11035.
[4] [4] Dalal N, Triggs B. Histograms of Oriented Gradients for Human Detection[C]// 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005, 1(1): 886-893.
[5] [5] Bosch A, Zisserman A, Munoz X. Representing shape with a spatial pyramid kernel[C]//Acm International Conference on Image & Video Retrieval, 2007: 401-408(doi: https://doi.org/10.1145/1282280.1282340).
[6] [6] Sangeetha D, Deepa P. A low-cost and high-performance architecture for robust human detection using histogram of edge oriented gradients[J]. Microprocessors and Microsystems, 2017, 53: 106-119.
[7] [7] ZHENG C H, PEI W J, YAN Q, et al. Pedestrian detection based on gradient and texture feature integration[J]. Neurocomputing, 2017, 228: 71-78.
[9] [9] Itti L, Koch E. A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Trans., 1998, 20(11): 1254-1259
[10] [10] Radhakrishna A, Sheila H, Francisco E, et al. Frequency-tuned salient region detection[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009: (doi: 10.1109/CVPR.2009.5206596).
[11] [11] HOU X D, ZHANG L Q. Saliency detection: a spectral residual approach[C]//2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007: (doi:10.1109/CVPR.2007.383267).
[12] [12] Alexe B, Deselaers T, Ferrari V. Measuring the objectness of image windows[J]. IEEE Transactions on Software Engineering, 2012, 34(11): 2189-2202.
[13] [13] WANG X, HAN T X, YAN S. An HOG-LBP human detector with partial occlusion handling[C]//12th International Conference on Computer Vision of IEEE, 2010: (doi: 10.1109/ICCV.2009.5459207).
[14] [14] Javier M N, Vazquez D, Lopez A M, et al. Occlusion handling via random subspace classifiers for human detection[J]. IEEE Transactions on Cybernetics, 2013, 44(3): V342-354.
[15] [15] Broggi A, Bertozzi M, Fascioli A, et al. Shape-based pedestrian detection[C]//IEEE Intelligent Vehicles Symposium, 2000: (doi: 10.1109/ IVS.2000.898344).
[16] [16] Brehar R, Vancea C, Nedevschi S. Pedestrian detection in infrared images using aggregated channel features[C]//IEEE International Conference on Intelligent Computer Communication & Processing, 2014: (doi: 10.1109/ICCP.2014.p6936964).
[17] [17] LIN T Y, Goyal P, Girshick R, et al. Focal loss for dense object detection[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, 99: 2999-3007.
Get Citation
Copy Citation Text
ZHAO Shuang, CHEN Shuyue, WANG Qiaoyue. Infrared Pedestrian Detection in Complex Night Scenes[J]. Infrared Technology, 2021, 43(6): 575