An Efficient Approach towards Occluded Face Detection

A Balasundaram, C. Chellappan

Resumen


In today’s world, security has gained utmost significance in every walk of life. With the recent advancements in image and video analytics, emphasis has been towards developing enhanced surveillance systems which perform complex tasks that include automated security incident detection, tracking and analysis in real time. The primary objective of this paper is to automatically detect the presence of any masked or occluded face in real time. A robust technique based on pivotal facial points has been developed. The paper discusses in detail how the pivotal points are observed extracted are used in discovering masked faces in real time. Analysis of this algorithm’s performance on test data sets gives positive insights for further enhancements towards occluded face detection in real time surveillance

Palabras clave


Mask detection; face detection; eye detection; face occlusion; video surveillance; partial occlusion

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Referencias


Ibrahim Venkat, Ahamad Tajudin Khader, K.G. Subramanian and Philippe De Wilde, Recognizing occluded faces by exploi- ting psychophysically inspired similarity map, in Neurocomputing 34 (2013) 903–911.

Kohtaro Ohba and Katsushi Ikeuchi, Detectability, uniqueness and reliability of Eigen windows for stable verification of partially occluded objects ,in IEEE transac- tions on Pattern analysis and Machine Intelli- gence, 19 (1997) 1043 - 1048.

Yongbin Zhang and Aleix M. Marti- nez, A weighted probabilistic approach to face recognition from multiple images and video sequences, in Image and Vision Computing 24 (2006) 626–638.

Aleix M. Martinez, Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class, in IEEE transactions on pattern analysis and machine intelligence 24 (2002) 748 – 763.

Xiaoyang Tan, Songcan Chen and Zhi-Hua Zhou, Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble, in IEEE transactions on neural networks 16(2005)875-886.

Ping-Han Lee, Yun-Wen Wang, Ming-Hsuan Yang, Jison Hsu and Yi-Ping Hung, Distinctive personal traits for face recognition under occlusion, in IEEE International Conference on Systems, Man and Cybernetics 2006.

Kazuhiro Hotta, Robust face recog- nition under partial occlusion based on support vector machine with local Gaussian summation kernel, in Image and Vision Computing 26 (2008) 1490–1498.

John Wright, Allen Y. Yang, Arvind Ganesh,S. Shankar Sastry and Yi Ma, Robust Face Recognition via Sparse Representation, in IEEE transactions on pattern analysis and machine intelligence 31 (2009) 210 – 227.

Xiaoyang Tan, Songcan Chen and Jun Liu, Face Recognition Under Occlusions and Variant Expressions With Partial Similari- ty, in IEEE transactions on Information Forensics and Security, 4 (2009).

Yu Chen, Xiao-hong Xu and Jian-huang Lai, Optimal locality preserving projection for face recognition, Neurocompu- ting 74 (2011) 3941–3945.

A.Martinez and R.Benavente,The AR Face Database, Technical Report 24, Computer Vision Center, June 1998.




Universidad del Zulia /Venezuela/ Revistas de ciencias sociales /rcs_luz@yahoo.com /ISSN: 1315-9518

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