Exploring techniques for vision based human activity recognition: Methods, systems, and evaluation
With the wide applications of vision based intelligent systems, image and video analysis
technologies have attracted the attention of researchers in the computer vision field. In …
technologies have attracted the attention of researchers in the computer vision field. In …
Era of big data processing: A new approach via tensor networks and tensor decompositions
A Cichocki - arXiv preprint arXiv:1403.2048, 2014 - arxiv.org
Many problems in computational neuroscience, neuroinformatics, pattern/image recognition,
signal processing and machine learning generate massive amounts of multidimensional …
signal processing and machine learning generate massive amounts of multidimensional …
Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion
Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a
vitally important role in natural human-computer interface. Although great progress has been …
vitally important role in natural human-computer interface. Although great progress has been …
Spatio-temporal covariance descriptors for action and gesture recognition
We propose a new action and gesture recognition method based on spatio-temporal
covariance descriptors and a weighted Riemannian locality preserving projection approach …
covariance descriptors and a weighted Riemannian locality preserving projection approach …
Selective spatio-temporal interest points
B Chakraborty, MB Holte, TB Moeslund… - Computer Vision and …, 2012 - Elsevier
Recent progress in the field of human action recognition points towards the use of Spatio-
Temporal Interest Points (STIPs) for local descriptor-based recognition strategies. In this …
Temporal Interest Points (STIPs) for local descriptor-based recognition strategies. In this …
A two stream convolutional neural network with bi-directional GRU model to classify dynamic hand gesture
B Verma - Journal of Visual Communication and Image …, 2022 - Elsevier
Dynamic hand gesture recognition is still an interesting topic for the computer vision
community. A set of feature vectors can represent any hand gesture. A Recurrent Neural …
community. A set of feature vectors can represent any hand gesture. A Recurrent Neural …
MR-NTD: Manifold regularization nonnegative tucker decomposition for tensor data dimension reduction and representation
With the advancement of data acquisition techniques, tensor (multidimensional data) objects
are increasingly accumulated and generated, for example, multichannel …
are increasingly accumulated and generated, for example, multichannel …
Advances in matrix manifolds for computer vision
YM Lui - Image and Vision Computing, 2012 - Elsevier
The attention paid to matrix manifolds has grown considerably in the computer vision
community in recent years. There are a wide range of important applications including face …
community in recent years. There are a wide range of important applications including face …
SpringerBriefs in Computer Science
This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …
source to many destinations, or from many sources to many destinations. Multicast is …
Gesture recognition in ego-centric videos using dense trajectories and hand segmentation
We present a novel method for monocular hand gesture recognition in ego-vision scenarios
that deals with static and dynamic gestures and can achieve high accuracy results using a …
that deals with static and dynamic gestures and can achieve high accuracy results using a …