Global Motion-Aware Robust Visual Object Tracking for Electro Optical Targeting Systems
| Autor: | Jong Hyuk Lee, Min Young Kim, Byeong Hak Kim, Alan Lukezic, Ho Min Jung |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology lcsh:Chemical technology motion aware Biochemistry Article Analytical Chemistry camera motion vizualno sledenje objektov 020204 information systems robustno vizualno sledenje 0202 electrical engineering electronic engineering information engineering Entropy (information theory) lcsh:TP1-1185 Computer vision Electrical and Electronic Engineering Instrumentation business.industry Deep learning udc:004.93 Motion detection robust tracking Atomic and Molecular Physics and Optics Video tracking visual object tracking Eye tracking 020201 artificial intelligence & image processing gibanje kamere Artificial intelligence business |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 20 Issue 2 Sensors, vol. 20, no. 2, 566, 2020. Sensors, Vol 20, Iss 2, p 566 (2020) |
| ISSN: | 1424-8220 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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