[1] T. Giitsidis, E. G. Karakasis, A. Gasteratos, G. Ch. Sirakoulis. “Human and fire detection from high altitude UAV images.” IEEE 2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.
[2] Hanshan Zhu, Yayun Qi, Haochen Shi, Ning Li, Huiyu Zhou. “Human detection under UAV: an improved Faster R-CNN approach.” The 2018 5th International Conference on Systems and Informatics.
[3] A.F.M. Saifuddin Saif, Anton Satria Prabuwono, Zainal Rasyid Mahayuddin. “Real Time Vision Based Object Detection from UAV Aerial Images: A Conceptual Framework.” Springer Verlag Berlin Heidelberg. pp. 265–274, 2013.
[4] Happiness Ugochi Dike, Qingtian Wu, Yimin Zhou, Gong Liang. “Unmanned Aerial Vehicle (UAV) Based Running Person Detection from a Real-Time Moving Camera.” Proceedings of the 2018 IEEE International Conference on Robotics and Biomimetics. 2018.
[5] Hajer Fradi, Lorenzo Bracco, Flavia Canino, Jean-Luc Dugelay. “Autonomous Person Detection and Tracking Framework Using Unmanned Aerial Vehicles (UAVs).” 2018 26th European Signal Processing Conference.
[6] Chao Xiang, Haochen Shi, Ning Li,Meng Ding, Huiyu Zhou. “Pedestrian Detection Under Unmanned Aerial Vehicle an Improved Single-Stage Detector Based on RetinaNet.” IEEE 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics.
[7] Wilbert G. Aguilar, Marco A. Luna, Julio F. Moya, Vanessa Abad, Hugo Ruiz, Humberto Parra, and Cecilio Angulo. “Pedestrian Detection for UAVs Using Cascade Classifiers and Saliency Maps.” Springer International Publishing AG. 2017.
[8] Xianzhi Du, Mostafa El-Khamy, Jungwon Lee, Larry Davis. “Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection.” 2017 IEEE Winter Conference on Applications of Computer Vision.
[9] Hyung-Min Jeon, Vinh Dinh Nguyen, Jae Wook Jeon. “Pedestrian Detection Based on Deep Learning”. IEEE. 2019.
[10] Weicheng Sun, Songhao Zhu, Xuewen Ju, Dongsheng Wang. “Deep Learning Based Pedestrian Detection.” IEEE. 2018.