NDLI: Human gait identification from extremely low-quality videos: an enhanced classifier ensemble method

Content Provider	IET Digital Library
Author	Guan, Yu Sun, Yunlian Li, Chang Tsun Tistarelli, Massimo
Abstract	Nowadays, surveillance cameras are widely installed in public places for security and law enforcement, but the video quality may be low because of the limited transmission bandwidth and storage capacity. In this study, the authors proposed a gait recognition method for extremely low-quality videos, which have a frame-rate at one frame per second (1 fps) and resolution of 32 × 22 pixels. Different from popular temporal reconstruction-based methods, the proposed method uses the average gait image (AGI) over the whole sequence as the appearance-based feature description. Based on the AGI description, the authors employed a large number of weak classifiers to reduce the generalisation errors. The performance can be further improved by incorporating the model-based information into the classifier ensemble. The authors found that the performance improvement is directly proportional to the average disagreement level of weak classifiers (i.e. diversity), which can be increased by using the model-based information. The authors evaluated the proposed method on both indoor and outdoor databases (i.e. the low-quality versions of OU-ISIR-D and USF databases), and the results suggest that our method is more general and effective than other state-of-the-art algorithms.
Starting Page	84
Ending Page	93
Page Count	10
ISSN	20474938
Volume Number	3
e-ISSN	20474946
Issue Number	Issue 2, Jun (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/3/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2013.0062
Journal	IET Biometrics
Publisher Date	2014-04-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AGI Appearance-based Feature Description Average Gait Image Classifier Ensemble Method Computer Vision And Image Processing Technique Feature Extraction Gait Analysis Gait Recognition Method Generalisation Error Reduction Human Gait Identification Image Classification Image Recognition Indoor Database Low-quality Videos Model-based Information Object Recognition OU-ISIR-D Database Outdoor Database Storage Capacity Surveillance Cameras Temporal Reconstruction-based Method Transmission Bandwidth USF Database Video Signal Processing Visual Database Weak Classifier
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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