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A review of human activity recognition methods
Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition
Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …
perception and computer vision due to its wide range of applications. These applications …
Silhouette-based human action recognition using sequences of key poses
In this paper, a human action recognition method is presented in which pose representation
is based on the contour points of the human silhouette and actions are learned by making …
is based on the contour points of the human silhouette and actions are learned by making …
Real-time skeleton-tracking-based human action recognition using kinect data
In this paper, a real-time tracking-based approach to human action recognition is proposed.
The method receives as input depth map data streams from a single kinect sensor. Initially, a …
The method receives as input depth map data streams from a single kinect sensor. Initially, a …
Visual appearance and soft biometrics fusion for person re-identification using deep learning
Learning descriptions of individual pedestrian is a common goal of both person re-
identification (P-ReID) and attribute recognition methods, which are typically differentiated …
identification (P-ReID) and attribute recognition methods, which are typically differentiated …
Fuzzy human motion analysis: A review
Abstract Human Motion Analysis (HMA) is currently one of the most popularly active
research domains as such significant research interests are motivated by a number of real …
research domains as such significant research interests are motivated by a number of real …
Minimum class variance extreme learning machine for human action recognition
In this paper, we propose a novel method aiming at view-independent human action
recognition. Action description is based on local shape and motion information appearing at …
recognition. Action description is based on local shape and motion information appearing at …
A vision-based system for intelligent monitoring: Human behaviour analysis and privacy by context
Due to progress and demographic change, society is facing a crucial challenge related to
increased life expectancy and a higher number of people in situations of dependency. As a …
increased life expectancy and a higher number of people in situations of dependency. As a …
Discriminant bag of words based representation for human action recognition
In this paper we propose a novel framework for human action recognition based on Bag of
Words (BoWs) action representation, that unifies discriminative codebook generation and …
Words (BoWs) action representation, that unifies discriminative codebook generation and …
Kernelization of tensor-based models for multiway data analysis: Processing of multidimensional structured data
Tensors (also called multiway arrays) are a generalization of vectors and matrices to higher
dimensions based on multilinear algebra. The development of theory and algorithms for …
dimensions based on multilinear algebra. The development of theory and algorithms for …