CVGIP: Image Understanding
Towards model-based recognition of human movements in image sequences
CVGIP: Image Understanding
Parameterizing arbitrary shapes via Fourier descriptors for evidence-gathering extraction
Computer Vision and Image Understanding
Nonrigid motion analysis: articulated and elastic motion
Computer Vision and Image Understanding
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic extraction and description of human gait models for recognition purposes
Computer Vision and Image Understanding
Fourier Preprocessing for Hand Print Character Recognition
IEEE Transactions on Computers
Performance analysis for gait in camera networks
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Covariate Analysis for View-Point Independent Gait Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Cancelable templates for sequence-based biometrics with application to on-line signature recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Performance analysis for automated gait extraction and recognition in multi-camera surveillance
Multimedia Tools and Applications
Self-calibrating view-invariant gait biometrics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Action and gait recognition from recovered 3-D human joints
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Chrono-gait image: a novel temporal template for gait recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Detection human motion with heel strikes for surveillance analysis
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
A cascade fusion scheme for gait and cumulative foot pressure image recognition
Pattern Recognition
Heel strike detection based on human walking movement for surveillance analysis
Pattern Recognition Letters
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Human motion analysis has received a great attention from researchers in the last decade due to its potential use in different applications. We propose a new approach to extract human joints (vertex positions) using a model-based method. Motion templates describing the motion of the joints as derived by gait analysis, are parametrized using the elliptic Fourier descriptors. The heel strike data is exploited to reduce the dimensionality of the parametric models. People walk normal to the viewing plane, as major gait information is available in a sagittal view. The ankle, knee and hip joints are successfully extracted with high accuracy for indoor and outdoor data. In this way, we have established a baseline analysis which can be deployed in recognition, marker-less analysis and other areas. The experimental results confirmed the robustness of the proposed method to recognize walking subjects with a correct classification rate of %92.