Fine-tuning human pose estimations in videos

Conference/Journal
IEEE
Authors
Digvijay Singh Vineeth N Balasubramanian CV Jawahar
BibTex
Abstract
Abstract: We propose a semi-supervised self-training method for fine-tuning human pose estimations in videos that provides accurate estimations even for complex sequences. We surpass state-of-the-art on most of the datasets used and also show a 2.33% gain over the baseline on our new dataset of unrestricted sports videos. The self-training model presented has two components: a static Pictorial Structure (PS) based model and a dynamic ensemble of exemplars. We present a pose quality criteria that is primarily used for batch selection ...