These features represent motion of foreground or body region with respect to the detected neck point's motion and encoded based on view in a human body centric ...

In this paper, we have proposed a simple framework for pose-invariant action recognition using a new set of kinematic features. These features represent ...

In this paper, we have proposed a simple framework for pose-invariant action recognition using a new set of kinematic features. These features represent ...

This study aims to propose a novel pose-invariant action recognition framework based on kinematic features and object context features. Using. RGB, depth and ...

Pose-invariant kinematic features for action recognition. December 2017. DOI ... These features are view and pose invariant, and thus enhance recognition ...

This study aims to propose a novel pose-invariant action recognition framework based on kinematic features and object context features. Using RGB, depth and ...

This study aims to propose a novel pose-invariant action recognition framework based on kinematic features and object context features. Using RGB, depth and ...

Dec 13, 2022 · This paper introduces an action detection system based on pose information. The system utilizes view-invariant pose feature not relying on machine learning ...

We propose Kinematics Posture Feature (KPF) extraction from 3D joint positions based on skeleton data for improving the performance of action recognition.

The set of kinematic features include divergence, vorticity, symmetric and anti-symmetric flow fields, second and third principal invariants of flow gradient ...