Methods for fast morphological image transforms using bitmapped binary images
CVGIP: Graphical Models and Image Processing
The computation of optical flow
ACM Computing Surveys (CSUR)
Moving object recognition in eigenspace representation: gait analysis and lip reading
Pattern Recognition Letters
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic gait recognition using area-based metrics
Pattern Recognition Letters
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simplest Representation Yet for Gait Recognition: Averaged Silhouette
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
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
Efficient Night Gait Recognition Based on Template Matching
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
ACM Computing Surveys (CSUR)
Feature fusion of side face and gait for video-based human identification
Pattern Recognition
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
A study on gait-based gender classification
IEEE Transactions on Image Processing
Fast communication: Active energy image plus 2DLPP for gait recognition
Signal Processing
Infrared gait recognition based on wavelet transform and support vector machine
Pattern Recognition
On automated model-based extraction and analysis of gait
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
Discriminant Locally Linear Embedding With High-Order Tensor Data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Identification of humans using gait
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Fusion of static and dynamic body biometrics for gait recognition
IEEE Transactions on Circuits and Systems for Video Technology
Robust gait recognition using gait energy image and band-limited phase-only correlation
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Human gait recognition via deterministic learning
Neural Networks
Gait recognition based on partitioned weighting gait energy image
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Human action recognition employing negative space features
Journal of Visual Communication and Image Representation
Gait recognition via optimally interpolated deformable contours
Pattern Recognition Letters
Combinational subsequence matching for human identification from general actions
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Feature subset selection applied to model-free gait recognition
Image and Vision Computing
Gait recognition based on shape and motion analysis of silhouette contours
Computer Vision and Image Understanding
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In this paper, we propose a novel gait representation-gait flow image (GFI) for use in gait recognition. This representation will further improve recognition rates. The basis of GFI is the binary silhouette sequence. GFI is generated by using an optical flow field without constructing any model. The performance of the proposed representation was evaluated and compared with the other representations, such as gait energy image (GEI), experimentally on the USF data set. The USF data set is a public data set in which the image sequences were captured outdoors. The experimental results show that the proposed representation is efficient for human identification. The average recognition rate of GFI is better than that of the other representations in direct matching and dimensional reduction approaches. In the direct matching approach, GFI achieved an average identification rate 42.83%, which is better than GEI by 3.75%. In the dimensional reduction approach, GFI achieved an average identification rate 43.08%, which is better than GEI by 1.5%. The experimental result showed that GFI is stronger in resisting the difference of the carrying condition compared with other gait representations.