MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices

arXiv:2308.09084v3 Announce Type: replace-cross
Abstract: We present MovePose, an optimized lightweight convolutional neural network designed specifically for real-time body pose estimation on CPU-based mobile devices. The current solutions do not provide satisfactory accuracy and speed for human posture estimation, and MovePose addresses this gap. It aims to maintain real-time performance while improving the accuracy of human posture estimation for mobile devices. Our MovePose algorithm has attained an Mean Average Precision (mAP) score of 68.0 on the COCO \cite{cocodata} validation dataset. …

abstract accuracy algorithm arxiv convolutional neural network cpu cs.cv cs.lg current devices edge edge devices gap human mobile mobile devices network neural network performance posture real-time solutions speed type