TY - JOUR
T1 - NON-RIGID MULTI-BODY TRACKING in RGBD STREAMS
AU - Dai, K. X.
AU - Guo, H.
AU - Mordohai, P.
AU - Marinello, F.
AU - Pezzuolo, A.
AU - Feng, Q. L.
AU - Niu, Q. D.
N1 - Publisher Copyright:
© Authors 2019.
PY - 2019/5/29
Y1 - 2019/5/29
N2 - To efficiently collect training data for an off-the-shelf object detector, we consider the problem of segmenting and tracking non-rigid objects from RGBD sequences by introducing the spatio-temporal matrix with very few assumptions – no prior object model and no stationary sensor. Spatial temporal matrix is able to encode not only spatial associations between multiple objects, but also component-level spatio temporal associations that allow the correction of falsely segmented objects in the presence of various types of interaction among multiple objects. Extensive experiments over complex human/animal body motions with occlusions and body part motions demonstrate that our approach substantially improves tracking robustness and segmentation accuracy.
AB - To efficiently collect training data for an off-the-shelf object detector, we consider the problem of segmenting and tracking non-rigid objects from RGBD sequences by introducing the spatio-temporal matrix with very few assumptions – no prior object model and no stationary sensor. Spatial temporal matrix is able to encode not only spatial associations between multiple objects, but also component-level spatio temporal associations that allow the correction of falsely segmented objects in the presence of various types of interaction among multiple objects. Extensive experiments over complex human/animal body motions with occlusions and body part motions demonstrate that our approach substantially improves tracking robustness and segmentation accuracy.
KW - Multi-body tracking
KW - Non-rigid
KW - Point clouds
KW - RGBD
UR - http://www.scopus.com/inward/record.url?scp=85067512770&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067512770&partnerID=8YFLogxK
U2 - 10.5194/isprs-annals-IV-2-W5-341-2019
DO - 10.5194/isprs-annals-IV-2-W5-341-2019
M3 - Conference article
AN - SCOPUS:85067512770
SN - 2194-9042
VL - 4
SP - 341
EP - 348
JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
IS - 2/W5
T2 - 4th ISPRS Geospatial Week 2019
Y2 - 10 June 2019 through 14 June 2019
ER -