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FACE RECOGNITION AND VIDEO FACE TRACKING Deepa - csus-dspace calstate

FACE RECOGNITION AND VIDEO FACE TRACKING Deepa - csus-dspace calstate 2025

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The document presents a master's project by Deepa Seetharamaiah on face recognition and video face tracking, submitted to California State University, Sacramento in 2011. It details the methodologies used for human face recognition through Eigen faces and Principal Component Analysis (PCA) on wavelet sub-bands, as well as face detection using Haar-like features. The project aims to demonstrate effective techniques for identifying faces in images and detecting them in video streams, highlighting the computational advantages of using wavelet sub-bands over traditional methods. The document includes acknowledgments, an abstract, a table of contents, and detailed chapters covering the introduction, techniques, algorithms, program flow, results comparison, and future enhancements.

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What is recognition in digital image processing?

Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in digital images. Computers can use machine vision technologies in combination with a camera and artificial intelligence (AI) software to achieve image recognition.

What is digital facial recognition?

Facial recognition is a category of biometric software that maps an individuals facial features to confirm their identity. Facial recognition is commonly used in security systems to identify specific individuals or users. One of the most common uses of facial recognition is for unlocking smartphones.

What is the face recognition process?

Facial recognition process: An image is captured. AI image recognition software reads the geometry of the face in the image by looking at the distance between key facial features, creating a unique facial template. The facial template is compared to a database of known, stored, or available faces.

What is face detection in digital image processing?

Face detection, also called facial detection, is a computer technology that identifies human faces in digital images and video. It clearly distinguishes those faces from other objects and establishes their boundaries.

What is face recognition using digital image processing?

Face Recognition: The recognition process involves a robot which detect the face using algorithms PCA, LDA, LBPH which is an inbuilt algorithm in openCV library for face recognition. The robot will move a capture the images on a real time basis and again perform the face detection process.

Which database is used in face recognition attendance system?

Firebase Database: This is where all the necessary data will be stored. The database will store student information, attendance records, and any other necessary data. The face recognition system and the user interface will both interact with the database to store and retrieve data.

Which algorithm is used in face recognition attendance system?

The Haar cascade algorithm and the LBPH algorithm are used for face detection and recognition. The system is designed to be s ufficiently accurate in comparison to other systems.

Does face recognition work with video?

Face recognition software can analyze video footage in real time, instantly identifying and alerting authorities about the same person or individuals from a watchlist.