Open AccessEye of Devil: Face Recognition in Real World Surveillance Video with Feature Extraction and Pattern Matching
Author(s) -
Maddimsetty Bullaiaha Tej
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.39711
Subject(s) - artificial intelligence , computer science , computer vision , pattern recognition (psychology) , face (sociological concept) , facial recognition system , matching (statistics) , feature extraction , three dimensional face recognition , feature (linguistics) , face detection , mathematics , social science , linguistics , statistics , philosophy , sociology
People lost, people missing etc., these are the words we come across whenever there is any mass gathering events going on or in crowded areas. To solve this issue some traditional approaches like announcements are in use. One idea is to identify the person using face recognition and pattern matching techniques. There are several techniques to implement face recognition like extraction of facial features by using the position of eyes, nose, jawbone or skin texture analysis etc., By using these techniques a unique dataset can be created for each human. Here the photograph of the missing person can be used to extract these facial features. After getting the dataset of that individual, by using pattern matching techniques, there is a scope to find the person with same facial features in the crowd images or videos. Keywords: Face-Recognition, Image-Processing, Feature extraction, Video-Processing, Pattern-Matching.