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 …

Human action analysis based on 3D imaging is an emerging topic. This paper presents an
approach for the problem of action recognition using information from a number of action …

A learning-based framework for action representation and recognition relying on the
description of an action by time series of optical flow motion features is presented. In the …

A human behavior recognition method with an application to political speech videos is
presented. We focus on modeling the behavior of a subject with a conditional random field …

Video surveillance is recently one of the most active research topics in computer vision. It
has a wide spectrum of promising public safety and security applications. As the number of …

People naturally anthropomorphize the movement of nonliving objects, as social
psychologists Fritz Heider and Marianne Simmel demonstrated in their influential 1944 …

Abstract Human Activity Recognition (HAR) is a vast and exciting topic for researchers and
students. HAR aims to recognize activities by observing the actions of subjects and …

Skeleton-based human-action-recognition (SBHAR) has wide applications in cognitive
science and automatic surveillance. However, the most challenging and crucial task of the …

This thesis focuses on detection of persons and pose recognition using neural networks.
The goal is to detect human body poses in a visual scene with multiple persons and to use …

This paper presents a system, which is able to recognize different continuous human
activities in real time from videos using a single stationary camera. The proposed system …