Faceless identification based on temporal strips

Citation

Leong, Shu Min and Phan, Raphael Chung Wei and Baskaran, Vishnu Monn and Ooi, Chee Pun (2020) Faceless identification based on temporal strips. Multimedia Tools and Applications. pp. 1-20. ISSN 1380-7501; eISSN: 1573-7721

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Abstract

This paper first presents a novel approach for modelling facial features, Local Directional Texture (LDT), which exploits the unique directional information in image textures for the problem of face recognition. A variant of LDT with privacy-preserving temporal strips (TS) is then considered to achieve faceless recognition with a higher degree of privacy while maintaining high accuracy. The TS uses two strips of pixel blocks from the temporal planes, XT and YT, for face recognition. By removing the reliance on spatial context (i.e., XY plane) for this task, the proposed method withholds facial appearance information from public view, where only one-dimensional temporal information that varies across time are extracted for recognition. Thus, privacy is assured, yet without impeding the facial recognition task which is vital for many security applications such as street surveillance and perimeter access control. To validate the reliability of the proposed method, experiments were carried out using the Honda/UCSD, CK+, CAS(ME)2 and CASME II databases. The proposed method achieved a recognition rate of 98.26% in the standard video-based face recognition database, Honda/UCSD. It also offers a 81.92% reduction in the dimension length required for storing the extracted features, in contrast to the conventional LBP-TOP.

Item Type: Article
Uncontrolled Keywords: Human face recognition (Computer science)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 19 Oct 2020 15:43
Last Modified: 19 Oct 2020 19:33
URII: http://shdl.mmu.edu.my/id/eprint/7774

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