@inproceedings{1f60b17f98d748f59c0ce5d57ea10743,
title = "Disguised face detection and recognition under the complex background",
abstract = "In this paper, we propose an effective method for disguised face detection and recognition under the complex background. This method consists of two stages. The first stage determines whether the object is a person. In this stage, we propose the first-dynamic-then-static foreground object detection strategy. This strategy exploits the updated learning-based codebook model for moving object detection and uses the Local Binary Patterns (LBP) + Histogram of Oriented Gradients (HOG) feature-based head-shoulder detection for static target detection. The second stage determines whether the face is disguised and the classes of disguises. Experiments show that our method can detect disguised faces in real time under the complex background and achieve acceptable disguised face recognition rate.",
keywords = "complex background, disguised face detection, disguised face recognition",
author = "Jing Li and Bin Li and Yong Xu and Kaixuan Lu and Ke Yan and Lunke Fei",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2014 - 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2014 ; Conference date: 09-12-2014 Through 12-12-2014",
year = "2015",
month = jan,
day = "19",
doi = "10.1109/CIBIM.2014.7015448",
language = "English",
series = "IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, CIBIM",
publisher = "IEEE Computer Society",
number = "January",
pages = "87--93",
booktitle = "IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIBIM 2014",
address = "United States",
edition = "January",
}