TY - GEN
T1 - Self-occlusion robust 3D human pose tracking from monocular image sequence
AU - Cho, Nam Gyu
AU - Yuille, Alan
AU - Lee, Seong Whan
PY - 2012
Y1 - 2012
N2 - Pose tracking technique has great potential for many applications such as marker-free human motion capture system, Human Computer Interactions (HCI), and video surveillance. Though many methods are introduced during last decades, self-occlusion - one body part is occluded by another one - is still considered one of the most difficult problems for 3D human pose tracking. In this paper, we propose a self-occlusion state estimation method. A MRF (Markov Random Field) is used to model the occlusion state which represents the pairwise depth order between two human body parts. A novel estimation method is proposed to infer a body pose and an occlusion state separately. HumanEva dataset is used for testing the proposed method. In order to evaluate and quantify how often the occlusion state changes, we label the ground truth of occlusion state.
AB - Pose tracking technique has great potential for many applications such as marker-free human motion capture system, Human Computer Interactions (HCI), and video surveillance. Though many methods are introduced during last decades, self-occlusion - one body part is occluded by another one - is still considered one of the most difficult problems for 3D human pose tracking. In this paper, we propose a self-occlusion state estimation method. A MRF (Markov Random Field) is used to model the occlusion state which represents the pairwise depth order between two human body parts. A novel estimation method is proposed to infer a body pose and an occlusion state separately. HumanEva dataset is used for testing the proposed method. In order to evaluate and quantify how often the occlusion state changes, we label the ground truth of occlusion state.
KW - 3D human pose tracking
KW - Motion analysis
KW - Self-occlusion
UR - http://www.scopus.com/inward/record.url?scp=84872391886&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872391886&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2012.6377709
DO - 10.1109/ICSMC.2012.6377709
M3 - Conference contribution
AN - SCOPUS:84872391886
SN - 9781467317146
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 254
EP - 257
BT - Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
T2 - 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Y2 - 14 October 2012 through 17 October 2012
ER -