Yuanqiang Evan Dong
Human motion capture has
numerous application in human-robot interaction, law enforcement, surveillance,
entertainment, sports, medicine, etc. Various methods have been developed to
date and they can be categorized into: marker-based or markerless; articulated
model-based or appearance-based; single view or multiple view; and so on.
Marker-based methods are the simplest ones and therefore are also the methods
with most success so far. However, it is obviously not always possible to add
markers to the human subjects, and markerless approaches are without a doubt the
most general and desirable methods.
In our work, we explore
markerless method for human motion capture. We propose a Bayesian estimation
based method which falls into single view and articulated model-based category.
The estimator, derived from Particle Filters, was expanded to a hierarchical
model by introducing a new coarse-to-fine framework to deal with the
computational complexity inherent to Particle Filters.
Since the estimation of human
pose from single view is restrictive to specific class of human motion, we
tested our proposed method using partial frames of "Combo" and
"Gesture" sequence in HumanEva I Dataset.
1. Estimation results for
Pose estimation at "coarse" level
Pose estimation at "fine" level
2. Estimation results for "Combo_S2"
3. Estimation results for "Combo_S3"
4. Estimation results for "Combo_S4"
5. Estimation results for "Gesture_S1"
6. Estimation results for "Gesture_S2"
7. Estimation results for "Gesture_S3"
8. Estimation results for "Gesture_S4"
Dong, Y., Conrad, D. and DeSouza, G. N.,
Wii Using only 'We': Using
Background Subtraction and Human Pose Recognition to Eliminate
in the Proceedings of the
2011 IEEE International Conference on Robotics and
Automation (IEEE-ICRA). (submitted)
Y. Dong and G. N. DeSouza,
A New Approach to the Analysis and Aggregation of Hierarchical
Particle Filters for Human Motion Capture",
Journal of Computer Vision and Image Understanding (submitted).
Dong Y. and DeSouza, G.N., "A New Hierarchical Particle Filtering for
Markerless Human Motion Capture", in the Proceedings of the 2009 IEEE
Workshop on Computational Intelligence for Visual Intelligence and IEEE
Symposium Series on Computational Intelligence (CIVI), pp. 14-21, Nashville, TN.