Vision-based Human Fall Detection Systems using Deep Learning: A Review

22 July 2022

Papers citing "Vision-based Human Fall Detection Systems using Deep Learning: A Review"

8 / 8 papers shown

Title
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model Till Grutschus Ola Karrar Emir Esenov Ekta Vats 18 0 0 29 Jan 2024
Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review F. X. Gaya-Morey Cristina Manresa-Yee Jose Maria Buades Rubio 16 12 0 22 Jan 2024
Real-Time Human Fall Detection using a Lightweight Pose Estimation Technique Ekram Alam Abu Sufian P. Dutta Marco Leo 3DH 23 1 0 03 Jan 2024
Finding Biomechanically Safe Trajectories for Robot Manipulation of the Human Body in a Search and Rescue Scenario Elizabeth Peiros Zih-Yun Chiu Yuheng Zhi Nikhil Shinde Michael C. Yip 10 7 0 26 Sep 2023
Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects Md. Milon Islam Sheikh Nooruddin Fakhri Karray Muhammad Ghulam BDL 16 129 0 02 Feb 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 240 3,465 0 21 Mar 2017
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014