TY - GEN
T1 - Multiple object tracking using an RGB-D camera by hierarchical spatiotemporal data association
AU - Koo, Seongyong
AU - Lee, Dongheui
AU - Kwon, Dong Soo
PY - 2013
Y1 - 2013
N2 - In this paper, we propose a novel multiple object tracking method from RGB-D point set data by introducing the hierarchical spatiotemporal data association method (HSTA) in order to robustly track multiple objects without prior knowledge. HSTA is able to construct not only temporal associations between multiple objects, but also component-level spatiotemporal associations that allow the correction of falsely detected objects in the presence of various types of interaction among multiple objects. The proposed method was evaluated using the four representative interaction cases such as split, complete occlusion, partial occlusion, and multiple contacts. As a result, HSTA showed significantly more robust performance than did other temporal data association methods in the experiments.
AB - In this paper, we propose a novel multiple object tracking method from RGB-D point set data by introducing the hierarchical spatiotemporal data association method (HSTA) in order to robustly track multiple objects without prior knowledge. HSTA is able to construct not only temporal associations between multiple objects, but also component-level spatiotemporal associations that allow the correction of falsely detected objects in the presence of various types of interaction among multiple objects. The proposed method was evaluated using the four representative interaction cases such as split, complete occlusion, partial occlusion, and multiple contacts. As a result, HSTA showed significantly more robust performance than did other temporal data association methods in the experiments.
UR - http://www.scopus.com/inward/record.url?scp=84893720326&partnerID=8YFLogxK
U2 - 10.1109/IROS.2013.6696489
DO - 10.1109/IROS.2013.6696489
M3 - Conference contribution
AN - SCOPUS:84893720326
SN - 9781467363587
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 1113
EP - 1118
BT - IROS 2013
T2 - 2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013
Y2 - 3 November 2013 through 8 November 2013
ER -