Independent component analysis: algorithms and applications
Neural Networks
Digital Image Processing: Concepts, Algorithms, and Scientific Applications
Digital Image Processing: Concepts, Algorithms, and Scientific Applications
Gait Analysis for Recognition and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognizing faces with PCA and ICA
Computer Vision and Image Understanding - Special issue on Face recognition
Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait shape estimation for identification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Gender classification in human gait using support vector machine
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
We analyze gait with the goal of identifying personal characteristics of individuals, such as gender. We use a novel representation to estimate the amount of translation and rotation in small patches throughout the image. Limb motion in a plane can be described using patterns of translation and rotation. We evaluate the usefulness of both rotation and translation to determine gender. Further, we wish to determine whether discrete portions of the gait cycle are best applied for gender recognition. We use independent components analysis to build a dictionary at each phase of the gait cycle. We train a support vector machine to classify male from female using coefficients of independent components. Our experimental results suggest that determinants of gait play an important role in identifying gender. Further rotation and translation contains different information that is useful at different parts of the gait cycle.