20.500.12556/RUL-133086 Global motion-aware robust visual object tracking for electro optical targeting systems Although recently developed trackers have shown excellent performance even when tracking fast moving and shape changing objects with variable scale and orientation, the trackers for the electro-optical targeting systems (EOTS) still suffer from abrupt scene changes due to frequent and fast camera motions by pan-tilt motor control or dynamic distortions in field environments. Conventional context aware (CA) and deep learning based trackers have been studied to tackle these problems, but they have the drawbacks of not fully overcoming the problems and dealing with their computational burden. In this paper, a global motion aware method is proposed to address the fast camera motion issue. The proposed method consists of two modules: (i) a motion detection module, which is based on the change in image entropy value, and (ii) a background tracking module, used to track a set of features in consecutive images to find correspondences between them and estimate global camera movement. A series of experiments is conducted on thermal infrared images, and the results show that the proposed method can significantly improve the robustness of all trackers with a minimal computational overhead. We show that the proposed method can be easily integrated into any visual tracking framework and can be applied to improve the performance of EOTS applications. visual object tracking camera motion motion aware robust tracking vizualno sledenje objektov gibanje kamere robustno vizualno sledenje true false true Angleški jezik Slovenski jezik Članek v reviji 2021-11-11 07:55:39 2021-11-11 07:55:40 2022-09-12 04:14:47 0000-00-00 00:00:00 2020 0 0 20 str. iss. 2, art. 566 Vol. 20 Jan. 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.93 1424-8220 10.3390/s20020566 1538564547 RAZ_Kim_Byeong_Hak_2020.pdf RAZ_Kim_Byeong_Hak_2020.pdf 1 984F1CD3A560CC54BC05FD211C9E588C c43eea861bedfea77e719528d34468ddcb267113aeb63f9656453488d959719d dd5228b5-42bc-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=150872 https://www.mdpi.com/1424-8220/20/2/566 1 52c3e434-42bc-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=150871 Fakulteta za računalništvo in informatiko 0 0 0