In this paper, we propose a distributed solution for 3D human pose estimation using a RGBD
camera network. The key feature of our method is a dynamic hybrid consensus filter (DHCF) …

In this paper, we introduce the information-weighted consensus filter (IWCF)-based human
pose estimation method for action recognition using a distributed RGBD camera network …

Camera and inertial measurement unit (IMU) based three-dimensional (3D) human pose
estimation flourished in the last decade. However, existing methods are difficult to apply to …

Abstract 3D human pose estimation is widely applied in various fields, including action
recognition, sports analysis, and human-computer interaction. 3D human pose estimation …

3D human pose estimation using monocular images is an important yet challenging task.
Existing 3D pose detection methods exhibit excellent performance under normal conditions …

In multi-view 3D human pose estimation (HPE), viewpoint images have large variability due
to factors like camera angles and occlusion, making feature extraction and fusion across …

In human activity recognition system, detecting the human and estimating the pose of 2D or
3D human correctly is critical issue. In this paper, we propose a novel approach for 3D …

Distributed camera network for human pose estimation can solve the problem of limited view
and occlusion of single view, which has great potential for wide area surveillance …

This paper presents a multi-agent reinforcement learning (MARL) scheme for proactive Multi-
Camera Collaboration in 3D Human Pose Estimation in dynamic human crowds. Traditional …

3D human pose estimation is a challenging problem due to the diversity of poses, human
appearance, clothing, occlusion, etc. In this work, we split the problem into two stages, 2D …