The influence of segmentation on individual gait recognition

Ning Jia, Victor Sanchez, Chang Tsun Li, Hassan Mansour

Research output: Book chapter/Published conference paperConference paper

Abstract

The quality of the extracted gait silhouettes can hinder the performance and practicability of gait recognition algorithms. In this paper, we analyse the influence of silhouette quality caused by segmentation disparities, and propose a feature fusion strategy to improve recognition accuracy. Specifically, we first generate a dataset containing gait silhouette with various qualities generated by different segmentation algorithms, based on the CASIA Dataset B. We then project data into an embedded subspace, and fuse gallery features of different quality levels. To this end, we propose a fusion strategy based on Least Square QR-decomposition method. We perform classification based on the Euclidean distance between fused gallery features and probe features. Evaluation results show that the proposed fusion strategy attains important improvements on recognition accuracy.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2015 IEEE International Workshop on Information Forensics and Security (WIFS)
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781467368025
DOIs
Publication statusPublished - 29 Dec 2015
Event2015 IEEE International Workshop on Information Forensics and Security (WIFS) - University of Roma Tre - Rectorate, Rome, Italy
Duration: 16 Nov 201519 Nov 2015
http://www.wifs2015.org/

Conference

Conference2015 IEEE International Workshop on Information Forensics and Security (WIFS)
CountryItaly
CityRome
Period16/11/1519/11/15
Internet address

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  • Cite this

    Jia, N., Sanchez, V., Li, C. T., & Mansour, H. (2015). The influence of segmentation on individual gait recognition. In Proceedings: 2015 IEEE International Workshop on Information Forensics and Security (WIFS) (pp. 1-6). [7368563] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WIFS.2015.7368563