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dc.contributor.authorTopçu, O.
dc.contributor.authorErcan, Ali Özer
dc.contributor.authorAlatan, A.
dc.date.accessioned2016-06-30T12:33:37Z
dc.date.available2016-06-30T12:33:37Z
dc.date.issued2012
dc.identifier.isbn978-1-4673-0054-4
dc.identifier.urihttp://hdl.handle.net/10679/4251
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6204775&tag=1
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractObject tracking is an important element of computer vision algorithms. This problem is difficult due to occlusion, illumination changes and shadows. We propose an appearance based occlusion-aware method for object tracking. Proposed method is based on particle filter tracking in a multi-camera environment. In this method, observations involving both position and appearance information are evaluated depending on whether the corresponding objects are involved in occlusion or not. Tracking is done using state vector in 3D coordinates and probabilities that objects are occluded is estimated to elevate tracking performance. Particles are graded according to their positions and appearances by taking occlusions into account. Weighting particles in terms of position information allows particles to imitate object position and motion. Appearance information help recognize objects after occlusion and track objects when position information is not available. In case of occlusion, particles are weighted according to occlusion probability in order not to make them affected by possibly false measurements. Appearance information is updated by time to account for appearance changes. Appearance is not updated if the object is involved in occlusion. Experiments with PETS and EPFL datasets revealed the success of proposed method and that our method can be applied to different camera configurations.
dc.language.isoengen_US
dc.publisherIEEE
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
dc.rightsrestrictedAccess
dc.titleGörünüş temelli̇ örtüşme gözeten 3D nesne taki̇bi̇en_US
dc.title.alternativeAppearance based occlusion aware 3D object tracking
dc.typeConference paperen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0003-1126-8259 & YÖK ID 35788) Ercan, Ali
dc.contributor.ozuauthorErcan, Ali Özer
dc.identifier.doi10.1109/SIU.2012.6204775
dc.subject.keywordsComputer vision
dc.subject.keywordsParticle filtering (numerical methods)
dc.subject.keywordsTarget tracking
dc.identifier.scopusSCOPUS:2-s2.0-84863455099
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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