Object Tracking Based on the Orientation Tensor Concept
1994 (English)Report (Other academic)
We apply the 3D-orientation tensor representation to construct an object tracking algorithm. 2D-line normal flow is estimated by computing the eigenvector associated with the largest eigenvalue of 3D (two spatial dimensions plus time) tensors with a planar structure. Object's true 2D velocity is computed by averaging tensors with consistent normal flows, generating a 3D line representation that corresponds to a 2D point in motion. Flow induced by camera rotation is compensated for by ignoring points with velocity consistent with the ego-rotation. A region-of-interest growing process based on motion consistency generates estimates of object size and position.
Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University, Department of Electrical Engineering , 1994. , 11 p.
LiTH-ISY-R, ISSN 1400-3902 ; 1658
Local structure tensor, Motion estimation, Object tracking
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-53316ISRN: LiTH-ISY-R-1658OAI: oai:DiVA.org:liu-53316DiVA: diva2:288608