Digital Solution for Enforcing Social Distancing
| Author(s) | : | Rohan Zinjurke, Shreyas Kumbhar, Tanishq Kulthe, Ashutosh Dhabekar |
| Institution | : | Computer Engineering, Dr. D. Y. Patil School Of Engineering &Technology |
| Published In | : | Vol. 8, Issue 2 — February 2021 |
| Page No. | : | 45-47 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Head pose classification is widely used before face recognition and problems using multiple images, sincealgorithms like face recognition need the image to be a front face. And due to the threat posed by the COVID-19pandemic, many people wear face masks to protect themselves and their families safe. Under certain circumstances,several common algorithms should not be applied to head pose classification. To discover how to classify head poses,this study developed a method that uses color texture analysis of images and line portrait. In the proposed HGL method,the human face is combined with the HSV color space, and the CNN is trained to extract face features for classification.The accuracy results of the algorithm in MAFA dataset indicate the method is better than those based on facial landmarkdetection and convolutional neural network.
Rohan Zinjurke, Shreyas Kumbhar, Tanishq Kulthe, Ashutosh Dhabekar, “Digital Solution for Enforcing Social Distancing”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 8, Issue 2, pp. 45-47, February 2021.
