Human Pose Estimation using Motion Priors and Ensemble Models
This work addresses human pose estimation for applications like human-computer interaction and surveillance, but it appears incremental as it builds on existing methodologies.
The paper tackles 3D human pose tracking using motion priors and 2D human pose estimation with ensemble modeling, but no concrete results or numbers are provided in the abstract.
Human pose estimation in images and videos is one of key technologies for realizing a variety of human activity recognition tasks (e.g., human-computer interaction, gesture recognition, surveillance, and video summarization). This paper presents two types of human pose estimation methodologies; 1) 3D human pose tracking using motion priors and 2) 2D human pose estimation with ensemble modeling.