A Comparative Analysis for Single Person and Multi Person Pose Estimation Using Deep Learning Algorithms

Due to numerous application of Human posture application in the real world, it has recently gained a lot of attention. This paper gives a complete assessment of deep learning-based human pose estimation methods and analyses the methodology used, because deep learning can improve the performance of state-of-the-art human pose estimation methods. Pipelines for single people and multi-person are examined individually first. The Alpha pose and Open pose deep learning frameworks used in these pipelines and, are then compared and analyzed.