Real-Time Face Detection and Tracking
R.Kantharhuban1, V.Mayandi2, K.Gomathinayagam3
1R. Kantharhuban, Department of Computer Science and Engineering, National Engineering College, India.
2V. Mayandi, Department of Computer Science and Engineering, National Engineering College, India.
3K.Gomathinayagam, Department of Computer Science and Engineering, National Engineering College, India.
Manuscript received on February 27, 2020. | Revised Manuscript received on March 14, 2020. | Manuscript published on March 30, 2020. | PP: 5116-5118 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8801038620/2020©BEIESP | DOI: 10.35940/ijrte.F8801.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Face detection, face tracking, and Object identification is the first process in applications such as face detection-based attendance marking system, video surveillance, and tracking of human faces in case of emergency. The main objective of our project is to detect and track the moving human faces with a permanently placed fixed camera. We propose a general moving face detection and tracking system.Our project mainly focuses on the moving human face detection in a situation, let us say, the people moving together are meeting with each other and are detected as the people as long as they stay in the situation. This can be done with the help of an Image Difference Algorithm with the python programming language support, and also that the time period for each and every frame can be calculated.
Keywords: Face detection, Face tracking, Human face identification.
Scope of the Article: Multimedia And Real-Time Communication.