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"Facts About Falls," Centers for Disease Control, Aug. 2021.URL
Park et al., "Emergency Situation Recognition System Using CCTV and Deep Learning," Korea Information Processing Society, Nov. 2020.DOI
He, Kaiming, Georgia Gkioxari, Piotr Dollar, and Ross Girshick, ``Mask R-CNN,'' 2017 IEEE International Conference on Computer Vision (ICCV), Oct. 2017.URL
Chen, Ying-Nong, Chi-Hung Chuang, Chih-Chang Yu, and Kuo-Chin Fan, ``Fall Detection in Dusky Environment,'' SpringerLink, Nov. 2013.DOI
Xu, Teng, et al., "Fall Detection Based on Person Detection and Multi-target Tracking," 2021 11th International Conference on Information Technology in Medicine and Education (ITME). IEEE, Nov. 2021.DOI
Salimi, Mohammadamin, José JM Machado, and João Manuel RS Tavares, ``Using Deep Neural Networks for Human Fall Detection Based on Pose Estimation,'' Sensors, 22(12), Jun. 2022.DOI
An, Jaeju, et al., "VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection," Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2), Aug. 2021.DOI
Redmon, Joseph, et al., "You only look once: Unified, real-time object detection," Proceedings of the IEEE conference on computer vision and pattern recognition, Jun. 2016.DOI
M. Ning, Y. Lu, W. Hou and M. Matskin, "YOLOv4-object: an Efficient Model and Method for Object Discovery," 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), Jul. 2021, pp. 31-36.DOI
WANG, Chien-Yao; BOCHKOVSKIY, Alexey; LIAO, Hong-Yuan Mark, ``Scaled-yolov4: Scaling cross stage partial network,'' Proceedings of the IEEE/cvf conference on computer vision and pattern recognition, Jul. 2021. p. 13029-13038.DOI
WANG, Chien-Yao; YEH, I.-Hau; LIAO, Hong-Yuan Mark, ``You only learn one representation: Unified network for multiple tasks,'' arXiv preprint, arXiv:2105.04206, May. 2021,DOI
WANG, Chien-Yao; BOCHKOVSKIY, Alexey; LIAO, Hong-Yuan Mark, ``YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,'' arXiv preprint, arXiv:2207.02696, Jul. 2022.DOI
GIRSHICK, Ross, et al, ``Rich feature hierarchies for accurate object detection and semantic segmentation,'' Proceedings of the IEEE conference on computer vision and pattern recognition, Jun. 2014. p. 580-587.DOI
GE, Zheng, et al, ``Yolox: Exceeding yolo series in 2021,'' arXiv preprint, arXiv:2107.08430, Aug. 2021.DOI
LONG, Xiang, et al., ``PP-YOLO: An effective and efficient implementation of object detector,'' arXiv preprint, arXiv:2007.12099, Aug. 2020.DOI
ZHU, Xizhou, et al., ``Deformable detr: Deformable transformers for end-to-end object detection,'' arXiv preprint, arXiv:2010.04159, Oct. 2020.DOI
CHARFI, Imen, et al., ``Definition and performance evaluation of a robust SVM based fall detection solution,'' 2012 eighth international conference on signal image technology and internet based systems. IEEE, Nov. 2012, p. 218-224.DOI
AUVINET, Edouard, et al., ``Multiple cameras fall dataset,'' DIRO-Université de Montréal, Tech. Rep}, Jul. 2010, 1350: 24.URL
MASTORAKIS, Georgios; MAKRIS, Dimitrios, ``Fall detection system using Kinect’s infrared sensor,'' Journal of Real-Time Image Processing, Dec. 2014, 9.4: 635-646.DOI
ZHANG, Zhong; CONLY, Christopher; ATHITSOS, Vassilis, ``Evaluating depth-based computer vision methods for fall detection under occlusions,'' International symposium on visual computing. Springer, Cham, 2014, p. 196-207.DOI