The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
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
An Evaluation of Multimodal 2D+3D Face Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Individual Recognition Using Gait Energy Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal biometrics using geometry preserving projections
Pattern Recognition
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusing gait and face cues for human gender recognition
Neurocomputing
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Performance evaluation of score level fusion in multimodal biometric systems
Pattern Recognition
Model-based feature extraction for gait analysis and recognition
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chrono-gait image: a novel temporal template for gait recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Hierarchical Fusion of Face and Iris for Personal Identification
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Sparse transfer learning for interactive video search reranking
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Gait energy volumes and frontal gait recognition using depth images
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
Hi-index | 0.01 |
Cumulative foot pressure images represent the 2D ground reaction force during one gait cycle. Biomedical and forensic studies show that humans can be distinguished by unique limb movement patterns and ground reaction force. Considering continuous gait pose images and corresponding cumulative foot pressure images, this paper presents a cascade fusion scheme to represent the potential connections between them and proposes a two-modality fusion based recognition system. The proposed scheme contains two stages: (1) given cumulative foot pressure images, canonical correlation analysis is employed to retrieve corresponding gait pose image candidates in gallery dataset; (2) pedestrian recognition is achieved via small samples matching between retrieved gait pose images and unlabeled ones. The proposed fusion recognition system is not only insensitive to slight changes of environment and the individual users, but also can be extended to multiple biometrics retrieval. Experimental results are conducted on the CASIA gait-footprint dataset, which contains cumulative foot pressure images and its corresponding gait pose image sequence from 88 subjects. Evaluation results suggest the effectiveness of the proposed scheme compared to other related approaches.