光电子快报(英文版), 2018, 14 (2): 152, Published Online: Sep. 17, 2018  

Application of robust face recognition in video surveil-lance systems

Author Affiliations
1 Tianjin ISecure Technologies Co. Ltd, Tianjin 300457, China
2 School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo 315211, China
Abstract
In this paper, we propose a video searching system that utilizes face recognition as searching indexing feature. As the applications of video cameras have great increase in recent years, face recognition makes a perfect fit for searching targeted individuals within the vast amount of video data. However, the performance of such searching depends on the quality of face images recorded in the video signals. Since the surveillance video cameras record videos without fixed postures for the object, face occlusion is very common in everyday video. The proposed system builds a model for oc-cluded faces using fuzzy principal component analysis (FPCA), and reconstructs the human faces with the available information. Experimental results show that the system has very high efficiency in processing the real life videos, and it is very robust to various kinds of face occlusions. Hence it can relieve people reviewers from the front of the moni-tors and greatly enhances the efficiency as well. The proposed system has been installed and applied in various envi-ronments and has already demonstrated its power by helping solving real cases.

ZHANG De-xin, AN Peng, ZHANG Hao-xiang. Application of robust face recognition in video surveil-lance systems[J]. 光电子快报(英文版), 2018, 14(2): 152.

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