A refined mechanism for human face recongnition from video footages

Title

A refined mechanism for human face recongnition from video footages

Creator

Vijayalakshmi, A

Contributor

Raj, Pethuru

Description

Undoubtedly homeland security is a noteworthy concern in today's increasingly connected world and there is a bevy of IT-based security solutions and services emerging and evolving to guarantee the safety and security of people and properties. Security and surveillance cameras are the prominent security solutions. People movements, gestures, and activities are being minutely monitored, captured as images and videos, and subjected to a variety of investigations in order to extract anything uncommon. As videos capture the movement, there is no requirement for the user to coordinate with the camera; video arrangements need not contain face images alone despite the fact that human appearances are vital articles in video sequences. Henceforth recognising a face from the sequence of a video turns into an essential undertaking in PC vision applications. As the user is not totally coordinating with the camera, it is not necessary that the face captured in the video sequence is the frontal face. At times, it need not be a human face. Hence, it is necessary to detect the human face region in a frame. If a human face is detected in a video sequence, there are chances that the detected face can be masked. It is also possible that the faces can be captured in various poses. There is also a difficulty in identifying a face subjected to various illuminations. The above natural possibility of not capturing the frontal face of a human in a frame makes the identification task difficult. This problem prompts researchers working under face recognition technology to design an improved framework that increases the recognition rate in the above situations. From the above-mentioned possibilities that deteriorate the recognition rate of a face, in this thesis work, two major problems namely face with varying pose and partially occluded faces are considered for recognition from a captured video.

Source

Author's Submission

Date

2016-01-01

Publisher

Christ(Deemed to be University)

Subject

Computer Science

Rights

Open Access

Relation

61000059

Format

PDF

Language

English

Type

PhD

Identifier

http://hdl.handle.net/10603/149621