Face Detection and Tagging using Deep Learning

Mehta, Jinesh and Ramnani, Eshaan and Singh, Sanjay (2018) Face Detection and Tagging using Deep Learning. In: International Conference on Computer, Communication, and Signal Processing, 22/02/2018, SSN College, Chennai.

[img] PDF
1174.pdf - Published Version
Restricted to Registered users only

Download (449kB) | Request a copy

Abstract

With the social media boom in today's world, we see people constantly uploading photos of themselves along with their friends and family on various social media platforms such as Facebook, Instagram, Twitter, Google+, etc. What if they want to see all the photos in a categorized form such as photos with a particular person. In this paper, we extend the concept of Multiview Face Detection using Convolution Neural Networks (CNN) used by Farfade et al. by providing a tagging system for the detected faces. For the face detection, we use Deep Dense Face Detector, which uses a single model based on deep convolutional neural networks. All the detected faces are recognized using Local Binary Patterns Histograms (LBPH) method. Precision, recall, and F-measure are the parameters used to measure the performance of the algorithm. An accuracy of 85% is achieved for tagging the faces which are successfully detected.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Face Detection, Face Recognition, Tagging, Deep Learning, Convolution Neural Network
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 05 Jan 2019 05:55
Last Modified: 05 Jan 2019 05:55
URI: http://eprints.manipal.edu/id/eprint/152735

Actions (login required)

View Item View Item