Qualitative multi-scale feature hierarchies for object tracking
1999 (English)In: SCALE-SPACE THEORIES IN COMPUTER VISION, Elsevier, 1999, 117-128 p.Conference paper (Refereed)
This paper shows how the performance of feature trackers can be improved by building a view-based object representation consisting of qualitative relations between image structures at different scales. The idea is to track all image features individually, and to use the qualitative feature relations for resolving ambiguous matches and for introducing feature hypotheses whenever image features are mismatched or lost. Compared to more traditional work on view-based object tracking, this methodology has the ability to handle semi-rigid objects and partial occlusions. Compared to trackers based on three-dimensional object models, this approach is much simpler and of a more generic nature. A hands-on example is presented showing how an integrated application system can be constructed from conceptually very simple operations.
Place, publisher, year, edition, pages
Elsevier, 1999. 117-128 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 1682
Computer Vision and Robotics (Autonomous Systems) Computer Science
IdentifiersURN: urn:nbn:se:kth:diva-51770ISI: 000170515400011ISBN: 3-540-66498-XOAI: oai:DiVA.org:kth-51770DiVA: diva2:464973
2nd International Conference on Scale Space Theory in Computer Vision (Scale-Space 99) SEP 26-27, 1999 CORFU, GREECE
QC 201112142011-12-142011-12-142016-05-12Bibliographically approved