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Tracking and labelling of interacting multiple targets
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2006 (English)In: COMPUTER VISION - ECCV 2006, PT 3, PROCEEDINGS / [ed] Leonardis, A; Pinz, A, 2006, Vol. 3953, 619-632 p.Conference paper (Refereed)
Abstract [en]

Successful multi-target tracking requires solving two problems - localize the targets and label their identity. An isolated target's identity can be unambiguously preserved from one frame to the next. However, for long sequences of many moving targets, like a football game, grouping scenarios will occur in which identity labellings cannot be maintained reliably by using continuity of motion or appearance. This paper describes bow to match targets' identities despite these interactions. Trajectories of when a target is isolated are found. These trajectories end when targets interact and their labellings cannot be maintained. The interactions (merges and splits) of these trajectories form a graph structure. Appropriate feature vectors summarizing particular qualities of each trajectory are extracted. A clustering procedure based on these feature vectors allows the identities of temporally separated trajectories to be matched. Results are shown from a football match captured by a wide screen system giving a full stationary view of the pitch.\

Place, publisher, year, edition, pages
2006. Vol. 3953, 619-632 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 3953
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-42024DOI: 10.1007/11744078_48ISI: 000237557100048ScopusID: 2-s2.0-33745812432ISBN: 3-540-33836-5OAI: diva2:446066
9th European Conference on Computer Vision (ECCV 2006) Location: Graz, Austria, Date: MAY 07-13, 2006
QC 20111006Available from: 2011-10-06 Created: 2011-10-05 Last updated: 2012-01-20Bibliographically approved

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