Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

Vision-based human action and activity recognition has an increasing importance among
the computer vision community with applications to visual surveillance, video retrieval and …

Urban land use information plays an important role in urban management, government
policy-making, and population activity monitoring. However, the accurate classification of …

Unsupervised feature selection chooses a subset of discriminative features to reduce feature
dimension under the unsupervised learning paradigm. Although lots of efforts have been …

Interest in utilizing neural networks in a variety of scientific and academic studies and in
industrial applications is increasing. In addition to the growing interest in neural networks …

In this paper we explore the idea of using high-level semantic concepts, also called
attributes, to represent human actions from videos and argue that attributes enable the …

Dynamic human activity recognition (HAR) is a domain of study that is currently receiving
considerable attention within the fields of computer vision and pattern recognition. The …

Recognizing human actions from unknown and unseen (novel) views is a challenging
problem. We propose a Robust Non-Linear Knowledge Transfer Model (R-NKTM) for human …

Recently, multi-view unsupervised feature selection has attracted much attention due to its
efficiency and better interpretability in processing high-dimensional multi-view datasets …

In this paper, we present a novel approach to recognizing human actions from different
views by view knowledge transfer. An action is originally modelled as a bag of visual-words …