A thermal infrared dataset for evaluation of short-term tracking methods
2015 (English)Conference paper, Presentation (Other academic)
During recent years, thermal cameras have decreased in both size and cost while improving image quality. The area of use for such cameras has expanded with many exciting applications, many of which require tracking of objects. While being subject to extensive research in the visual domain, tracking in thermal imagery has historically been of interest mainly for military purposes. The available thermal infrared datasets for evaluating methods addressing these problems are few and the ones that do are not challenging enough for today’s tracking algorithms. Therefore, we hereby propose a thermal infrared dataset for evaluation of short-term tracking methods. The dataset consists of 20 sequences which have been collected from multiple sources and the data format used is in accordance with the Visual Object Tracking (VOT) Challenge.
Place, publisher, year, edition, pages
, Svenska sällskapet för automatiserad bildanalys (SSBA)
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:liu:diva-127541OAI: oai:DiVA.org:liu-127541DiVA: diva2:925818
Swedish Symposium on Image Analysis