On-line human action recognition by combining joint tracking and key pose recognition

Abstract

In this paper, we present a boosting approach by combining the pose estimation and the upper body tracking to on-line recognize human actions. Instead of using a predefined pose to initialize the human skeleton, we construct a key poses database with depth HOG features as searching indexes. When user enters the camera view, we automatically search the… (More)
DOI: 10.1109/IROS.2012.6385863

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Citation Velocity: 11

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Cite this paper

@article{Weng2012OnlineHA, title={On-line human action recognition by combining joint tracking and key pose recognition}, author={E.-Jui Weng and Li-Chen Fu}, journal={2012 IEEE/RSJ International Conference on Intelligent Robots and Systems}, year={2012}, pages={4112-4117} }