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Object Tracking Based on the Orientation Tensor Concept
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
1995 (English)In: Theory and Applications of Image Analysis II / [ed] Gunilla Borgefors, Singapore: World Scientific Publishing , 1995, 267-278 p.Chapter in book (Other (popular science, discussion, etc.))
Abstract [en]

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 represention 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.  Introduction The literature on optical flow estimation is wast. Descriptions and performance studies of a number of different techniques are given in  and the monographs by Fleet  and Jahne. We will only briefly describe the particular methods used in the present study. Details on the tensor field represention a...

Place, publisher, year, edition, pages
Singapore: World Scientific Publishing , 1995. 267-278 p.
Keyword [en]
Image processing Congresses, Image analysis
Keyword [sv]
Bildanalys (datorbehandling)
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-51505PubMedID: 00000000ISBN: 981-02-2448-6OAI: diva2:275346

Selected papers from the 9th Scandinavian Conference on Image Analysis

Available from: 2009-11-04 Created: 2009-11-04 Last updated: 2014-04-17

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