Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …

Human action recognition and posture prediction aim to recognize and predict respectively
the action and postures of persons in videos. They are both active research topics in …

Human motion prediction is a challenging task due to the stochasticity and aperiodicity of
future poses. Recently, graph convolutional network has been proven to be very effective to …

Abstract We propose a Unified Pose Sequence Modeling approach to unify heterogeneous
human behavior understanding tasks based on pose data, eg, action recognition, 3D pose …

Poultry behavior is a critical indicator of its health and welfare. Lameness is a clinical
symptom indicating the existence of health problems in poultry. Therefore, lameness …

Anticipating actions before they are executed is crucial for a wide range of practical
applications, including autonomous driving and robotics. In this paper, we study the …

Skeleton-based action recognition aims to recognize human actions by exploring the
inherent characteristics from the given skeleton sequences and has attracted far more …

Human activity recognition (HAR) is an important research problem in computer vision. This
problem is widely applied to building applications in human–machine interactions …

Abstract Human Action Recognition (HAR) has remained one of the most challenging tasks
in computer vision. With the surge in data-driven methodologies, the depth modality has …

We address continual action recognition from skeleton sequence, which aims to learn a
recognition model over time from a continuous stream of skeleton data. This task is very …