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Robust and adaptive keypoint-based object tracking
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-2314-2880
KTH, Superseded Departments (pre-2005), Numerical Analysis and Computer Science, NADA. KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-5750-9655
2016 (English)In: Advanced Robotics, ISSN 0169-1864, E-ISSN 1568-5535, Vol. 30, no 4, p. 258-269Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2016. Vol. 30, no 4, p. 258-269
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Computer Sciences
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URN: urn:nbn:se:kth:diva-269112OAI: oai:DiVA.org:kth-269112DiVA, id: diva2:1411669
Available from: 2020-03-04 Created: 2020-03-04 Last updated: 2020-03-04

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Pieropan, AlessandroKjellström, Hedvig

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