The humanid gait challenge problem: Data sets, performance, and analysis
Identification of people by analysis of gait patterns extracted from video has recently become
a popular research problem. However, the conditions under which the problem is" solvable" …
a popular research problem. However, the conditions under which the problem is" solvable" …
View-invariant gait recognition with attentive recurrent learning of partial representations
Gait recognition refers to the identification of individuals based on features acquired from
their body movement during walking. Despite the recent advances in gait recognition with …
their body movement during walking. Despite the recent advances in gait recognition with …
Performance analysis of time-distance gait parameters under different speeds
This paper explores gait recognition for various walking speeds. Normal-constant speed is
one of the assumptions being made in many current gait recognition techniques. However …
one of the assumptions being made in many current gait recognition techniques. However …
Object tracking and classification for multiple active safety and comfort applications using a multilayer laser scanner
KC Fuerstenberg, K Dietmayer - IEEE Intelligent Vehicles …, 2004 - ieeexplore.ieee.org
This paper summarises new approaches combining distance and reflectivity measurements
of laser scanners in order to track and classify more accurately. Additionally a new method is …
of laser scanners in order to track and classify more accurately. Additionally a new method is …
Kernel-based sparse representation for gesture recognition
In this paper, we propose a novel sparse representation based framework for classifying
complicated human gestures captured as multi-variate time series (MTS). The novel feature …
complicated human gestures captured as multi-variate time series (MTS). The novel feature …
Discriminative learning of mixture of bayesian network classifiers for sequence classification
M Kim, V Pavlovic - … Vision and Pattern Recognition (CVPR'06), 2006 - ieeexplore.ieee.org
A mixture of Bayesian Network Classifiers (BNC) has a potential to yield superior
classification and generative performance to a single BNC model. We introduce novel …
classification and generative performance to a single BNC model. We introduce novel …
Pose invariant gait analysis and reconstruction
NM Spencer - 2005 - eprints.soton.ac.uk
One of the unique advantages of human gait is that it can be perceived from a distance. A
varied range of research has been undertaken within the field of gait recognition. However …
varied range of research has been undertaken within the field of gait recognition. However …
[PDF][PDF] A study of effects of gluteal ta** on TD-parameters following chronic stroke patients
BP Dowarah, A BP - Physiotherapy and Occupational Therapy, 2011 - academia.edu
A study of effects of gluteal ta** on TD-parameters following chronic stroke patients Page 40
36 A study of effects of gluteal ta** on TD-parameters following chronic stroke patients Bhatri …
36 A study of effects of gluteal ta** on TD-parameters following chronic stroke patients Bhatri …
Visual Object Tracking Approach Based on Wavelet Transforms
M BOURENNANE - 2022 - thesis.univ-biskra.dz
In this Thesis, a new visual object tracking (VOT) approach is proposed to overcome the
main challenging problem encountered within the existing approaches known as the …
main challenging problem encountered within the existing approaches known as the …
[HTML][HTML] Online selective-sample learning of hidden Markov models for sequence classification
M Kim - International Journal of Fuzzy Logic and Intelligent …, 2015 - ijfis.org
We consider an online selective-sample learning problem for sequence classification, where
the goal is to learn a predictive model using a stream of data samples whose class labels …
the goal is to learn a predictive model using a stream of data samples whose class labels …