Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19

Target specific mining of COVID-19 scholarly articles using one-class approach

(2020) Sanjay Kumar Sonbhadra et al.   CHAOS SOLITONS & FRACTALS

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

(2020) Narinder Singh Punn et al.   APPLIED INTELLIGENCE

DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic

(2020) Mahdi Rezaei et al.   Applied Sciences-Basel

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

(2018) Antonio Brunetti et al.   NEUROCOMPUTING

Two-person interaction recognition via spatial multiple instance embedding

(2015) Fadime Sener et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Robust real-time pedestrians detection in urban environments with low-resolution cameras

(2014) A. Alahi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Detection of static groups and crowds gathered in open spaces by texture classification

(2013) Marco Manfredi et al.   PATTERN RECOGNITION LETTERS

Shape Similarity for 3D Video Sequences of People

(2010) Peng Huang et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION