Dergi makalesi Açık Erişim
Sonmez, Hasan Huseyin; Hocaoglu, Ali Koksal
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Sonmez, Hasan Huseyin</dc:creator> <dc:creator>Hocaoglu, Ali Koksal</dc:creator> <dc:date>2022-01-01</dc:date> <dc:description>In multi-sensor multi-target tracking systems, the different sensors provide their detections at different times due to having different sampling periods or communication delays. Therefore, for track-to-track association algorithms, it is not realistic to assume that sensors are synchronous. In this paper, we propose an asynchronous track-to-track association algorithm based on reference topology feature. For synchronization of sensor tracks, a one-step, memoryless track propagation scheme is used. The proposed method handles both the asynchronous and synchronous sensors. An improved performance is achieved by using the generalized sub-patterns assignment metric to calculate the association costs between two reference topologies. The proposed algorithm also provides an improved performance for the synchronized sensors case.</dc:description> <dc:identifier>https://aperta.ulakbim.gov.trrecord/236868</dc:identifier> <dc:identifier>oai:aperta.ulakbim.gov.tr:236868</dc:identifier> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights> <dc:source>SIGNAL IMAGE AND VIDEO PROCESSING 16(3) 789-796</dc:source> <dc:title>Asynchronous track-to-track association algorithm based on reference topology feature</dc:title> <dc:type>info:eu-repo/semantics/article</dc:type> <dc:type>publication-article</dc:type> </oai_dc:dc>
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