Real-Time Pedestrian Detection for Far-Infrared Vehicle Images and Adaptive Instance Segmentation

Yu Bo; Ma Shuhao; Li Hongyan; Li Chungeng; An Jubai

doi:10.3788/LOP57.021507

[1] Braga-Neto U M, Choudhury M, Goutsias J I. Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators[J]. Journal of Electronic Imaging, 13, 802-813(2004).

[2] Corsi C. Infrared: a key technology for security systems[J]. Advances in Optical Technologies, 2012, 838752(2012).

[3] Cui M Y[J]. Application field and technical characteristics of infrared thermal imager China Security & Protection, 2014, 90-93.

[4] Wang H X, Dong H, Zhou Z Q. Review on dim small target detection technologies in infrared single frame images[J]. Laser & Optoelectronics Progress, 56, 080001(2019).

[5] Liu R, Wang D J, Jia P et al. Overview on small target detection technology in infrared image[J]. Laser & Optoelectronics Progress, 53, 050004(2016).

[6] Peng Z Y, Wang X J, Lu J. Infrared target detection under hot dome infrared radiation based on visual saliency method[J]. Infrared and Laser Engineering, 43, 1772-1776(2014).

[7] Cai W J, Wang L P, Zhang L P. Vehicle detection algorithm based on SLPP-SHOG in infrared image[J]. Laser & Infrared, 46, 1018-1022(2016).

[8] Fan Q S, Fan H B, Lin Y et al. Multi-object extraction methods based on long-line column scanning for infrared panorama imaging[J]. Infrared Technology, 41, 118-126(2019).

[9] Chen Q, Sheng H X, Zhang Z et al. Moving object detection under infrared light mutation[J]. Laser & Optoelectronics Progress, 53, 111005(2016).

[10] Bertozzi M, Broggi A, Fascioli A et al. Pedestrian detection for driver assistance using multiresolution infrared vision[J]. IEEE Transactions on Vehicular Technology, 53, 1666-1678(2004).

[11] Zhang L, Wu B, Nevatia R. Pedestrian detection in infrared images based on local shape features. [C]∥2007 IEEE Conference on Computer Vision and Pattern Recognition, June 17-22, 2007, Minneapolis, MN, USA. New York: IEEE, 9738285(2007).

[12] Suard F, Rakotomamonjy A, Bensrhair A et al. Pedestrian detection using infrared images and histograms of oriented gradients. [C]∥2006 IEEE Intelligent Vehicles Symposium, June 13-15, 2006, Meguro-Ku, Japan. New York: IEEE, 206-212(2006).

[13] Ge J F, Luo Y P, Tei G. Real-time pedestrian detection and tracking at nighttime for driver-assistance systems[J]. IEEE Transactions on Intelligent Transportation Systems, 10, 283-298(2009).

[14] Ma Y, Chang Q, Hu M F. Research on infrared human detection from complex backgrounds[J]. Infrared Technology, 39, 1038-1044, 1053(2017).

[15] Liu F, Wang S B, Wang X J et al. Infrared pedestrian detection method in low visibility environment based on multi feature association[J]. Infrared and Laser Engineering, 47, 0604001(2018).

[16] Su X Q, Sun S Y, Ge M et al. Pedestrian detection and tracking of vehicle infrared images[J]. Laser & Infrared, 42, 949-953(2012).

[17] Che K, Xiang Z T, Chen Y F et al. Research on infrared image pedestrian detection based on improved fast R-CNN[J]. Infrared Technology, 40, 578-584(2018).

[18] Xu M, Yu X S, Chen D Y et al. Pedestrian detection in complex thermal infrared surveillance scene[J]. Journal of Image and Graphics, 23, 1829-1837(2018).

[19] Girshick R. Fast R-CNN. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1440-1448(2015).

[20] 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).

[21] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 9905, 21-37(2016).

[22] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection. [C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 26-July 1, 2016, Las Vegas, Nevada. New York: IEEE, 779-788(2016).

[23] Redmon J, Farhadi A. YOLO9000: better, faster, stronger. [C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, July 21-26, 2017, Honolulu, Hawaii, USA. New York: IEEE, 7263-7271(2017).

[24] Redmon J. -04-08)[2019-04-16]. https:∥arxiv.gg363., site/abs/1804, 02767(2018).

[25] Hartigan J A, Wong M A. Algorithm AS 136: a K-means clustering algorithm[J]. Journal of the Royal Statistical Society. Series C (Applied Statistics), 28, 100-108(1979).

[26] Arthur D, Vassilvitskii S. K-means++: the advantages of careful seeding. [C]∥Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, January 7-9, 2007, New Orleans, Louisiana. USA: Society for Industrial and Applied Mathematics Philadelphia, 1027-1035(2007).

[27] Otsu N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 9, 62-66(1979).