This paper is published in Volume-7, Issue-3, 2021
Area
Artificial Intelligence
Author
N. Sai Karthik, G.Dinesh kumar, P.Ponnammal
Org/Univ
SRM University, chennai, India
Keywords
HOG, DNN
Citations
IEEE
N. Sai Karthik, G.Dinesh kumar, P.Ponnammal. Social distance monitoring using HOG and DNN, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
N. Sai Karthik, G.Dinesh kumar, P.Ponnammal (2021). Social distance monitoring using HOG and DNN. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.
MLA
N. Sai Karthik, G.Dinesh kumar, P.Ponnammal. "Social distance monitoring using HOG and DNN." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.
N. Sai Karthik, G.Dinesh kumar, P.Ponnammal. Social distance monitoring using HOG and DNN, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
N. Sai Karthik, G.Dinesh kumar, P.Ponnammal (2021). Social distance monitoring using HOG and DNN. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.
MLA
N. Sai Karthik, G.Dinesh kumar, P.Ponnammal. "Social distance monitoring using HOG and DNN." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.
Abstract
As of now, the world is facing its greatest pandemic COVID-19. Social distancing has become a part of our lives more than ever during the recent times .From our project, we would like to analyze a video that displays people walking around and provide the output in the same frame whether or not the people shown in the video are maintaining a social distance between them. The code will then be generalized in order to take any sample video as input and to provide the output.This will potentially help authorities to monitor public areas for practicing social distance, which will eventually help to curb the spread of a contagious disease.