Share Email Print
cover

Proceedings Paper • new

An improved silhouette for human pose estimation
Author(s): Anthony H. Hawes; Khan M. Iftekharuddin
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

We propose a novel method for analyzing images that exploits the natural lines of a human poses to find areas where self-occlusion could be present. Errors caused by self-occlusion cause several modern human pose estimation methods to mis-identify body parts, which reduces the performance of most action recognition algorithms. Our method is motivated by the observation that, in several cases, occlusion can be reasoned using only boundary lines of limbs. An intelligent edge detection algorithm based on the above principle could be used to augment the silhouette with information useful for pose estimation algorithms and push forward progress on occlusion handling for human action recognition. The algorithm described is applicable to computer vision scenarios involving 2D images and (appropriated flattened) 3D images.

Paper Details

Date Published: 12 September 2017
PDF: 9 pages
Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 1039512 (12 September 2017); doi: 10.1117/12.2274449
Show Author Affiliations
Anthony H. Hawes, Old Dominion Univ. (United States)
Khan M. Iftekharuddin, Old Dominion Univ. (United States)


Published in SPIE Proceedings Vol. 10395:
Optics and Photonics for Information Processing XI
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Víctor H. Diaz-Ramirez, Editor(s)

© SPIE. Terms of Use
Back to Top