The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Pedestrian Models for Silhouette Refinement
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Learning a Locality Preserving Subspace for Visual Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Individual Recognition Using Gait Energy Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait Recognition by Two-Stage Principal Component Analysis
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Framework for Extracting Human Gait Using Strong Prior Knowledge
IEEE Transactions on Pattern Analysis and Machine Intelligence
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Abnormal Gait Detection Using Discrete Fourier Transform
MUE '08 Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering
Advances in automatic gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Gait Components and Their Application to Gender Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Effect of silhouette quality on hard problems in gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Gait Recognition Using Radon Transform and Linear Discriminant Analysis
IEEE Transactions on Image Processing
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Most gait analysis and recognition algorithms are designed based on silhouette data. Their recognition performances may therefore be impaired by the poor quality silhouettes extracted from outdoor environments. In this paper, a silhouette quality quantification (SQQ) method is proposed to assess the quality of silhouette sequence. SQQ analyzes the sequence quality based on 1D foreground-sum signal modeling and signal processing technique. As an immediate application of SQQ, a general enhancement framework namely silhouette quality weighting (SQW) is designed toward improving most of the current gait recognition algorithms by taking into consideration sequence quality. The experiments are performed on the USF HumanID gait dataset v1.7 (with 71 subjects). Investigation using the SQQ criterion has revealed the baseline algorithm's mechanism of silhouette quality consideration. Two instantiations of the SQW algorithm based on gait energy image (GEI) are implemented. Improved recognition performances compared to the original GEI and baseline methods are obtained, which verifies the effectiveness of the proposed SQQ, SQW methods.