Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …

Human activity recognition has been an important area of computer vision research since
the 1980s. Various approaches have been proposed with a great portion of them addressing …

Regular machine learning and data mining techniques study the training data for future
inferences under a major assumption that the future data are within the same feature space …

This paper introduces a video representation based on dense trajectories and motion
boundary descriptors. Trajectories capture the local motion information of the video. A dense …

With nearly one billion online videos viewed everyday, an emerging new frontier in
computer vision research is recognition and search in video. While much effort has been …

In this paper, we present a novel approach for human action recognition with histograms of
3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D …

Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …

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

Human action recognition (HAR) has gained much attention in the last few years due to its
enormous applications including human activity monitoring, robotics, visual surveillance, to …

Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …