Computer Vision based Detection of Partially Occluded Faces
Creators
- 1. Assistant Professor, School of Computer Science and Engineering, Vellore Institute of Technology (VIT-Chennai), Chennai, India.
Contributors
- 1. Publisher
Description
In today’s world, security has gained utmost significance in every walk of life. With the recent advancements in image and video analytics, emphasis has been towards developing enhanced surveillance systems which perform complex tasks that include automated security incident detection, tracking and analysis in real time. The primary objective of this paper is to automatically detect the presence of any masked or occluded face in real time. A robust technique based on pivotal facial points has been developed. The paper discusses in detail how the pivotal points are observed extracted are used in discovering masked faces in real time. Analysis of this algorithm’s performance on test data sets gives positive insights for further enhancements towards occluded face detection in real time surveillance.
Files
C5637029320.pdf
Files
(934.6 kB)
Name | Size | Download all |
---|---|---|
md5:3a408f284558db21a881158f31241bb6
|
934.6 kB | Preview Download |
Additional details
Related works
- Is cited by
- Journal article: 2249-8958 (ISSN)
Subjects
- ISSN
- 2249-8958
- Retrieval Number
- C5637029320/2020©BEIESP