A recognition-based motion capture baseline on the HumanEva II test data

The advent of the HumanEva standardized motion capture data sets has enabled quantitative evaluation of motion capture algorithms on comparable terms. This paper measures the performance of an existing monocular recognition-based pose recovery algorithm on select HumanEva data, including all the Hum...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Machine vision and applications 2011-11, Vol.22 (6), p.995-1008
1. Verfasser:	Howe, Nicholas R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Communications Engineering Computer Science Error analysis Image Processing and Computer Vision Markov processes Motion capture Networks Optimization Original Paper Pattern Recognition Quantitative analysis Recognition Vision systems
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!