TY - GEN
T1 - Face Detection and Tagging Using Deep Learning
AU - Mehta, Jinesh
AU - Ramnani, Eshaan
AU - Singh, Sanjay
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/30
Y1 - 2018/8/30
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85054055329
UR - https://www.scopus.com/pages/publications/85054055329#tab=citedBy
U2 - 10.1109/ICCCSP.2018.8452853
DO - 10.1109/ICCCSP.2018.8452853
M3 - Conference contribution
AN - SCOPUS:85054055329
SN - 9781538611418
T3 - 2nd International Conference on Computer, Communication, and Signal Processing: Special Focus on Technology and Innovation for Smart Environment, ICCCSP 2018
BT - 2nd International Conference on Computer, Communication, and Signal Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Computer, Communication, and Signal Processing, ICCCSP 2018
Y2 - 22 February 2018 through 23 February 2018
ER -