Academic Journal
Data-driven background subtraction algorithm for in-camera acceleration in thermal imagery
| Τίτλος: | Data-driven background subtraction algorithm for in-camera acceleration in thermal imagery |
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| Συγγραφείς: | Makantasis, Konstantinos, Nikitakis, Antonios, Doulamis, Anastasios D., Doulamis, Nikolaos D., Papaefstathiou, Ioannis |
| Στοιχεία εκδότη: | Institute of Electrical and Electronics Engineers |
| Έτος έκδοσης: | 2018 |
| Συλλογή: | University of Malta: OAR@UM / L-Università ta' Malta |
| Θεματικοί όροι: | Infrared imaging -- Data processing, Optical data processing, Image processing -- Digital techniques, Gaussian processes -- Data processing, Field programmable gate arrays |
| Περιγραφή: | Detection of moving objects in videos is a crucial step toward successful surveillance and monitoring applications. A key component for such tasks is called background subtraction and tries to extract regions of interest from the image background for further processing or action. For this reason, its accuracy and real-time performance are of great significance. Although effective background subtraction methods have been proposed, only a few of them take into consideration the special characteristics of thermal imagery. In this paper, we propose a background subtraction scheme, which models the thermal responses of each pixel as a mixture of Gaussians with unknown number of components. Following a Bayesian approach, our method automatically estimates the mixture structure, while simultaneously it avoids over-/underfitting. The pixel density estimate is followed by an efficient and highly accurate updating mechanism, which permits our system to be automatically adapted to dynamically changing operation conditions. We propose a reference implementation of our method in reconfigurable hardware achieving both adequate performance and low-power consumption. Adopting a high-level synthesis design and demanding floating point arithmetic operations are mapped in reconfigurable hardware, demonstrating fast prototyping and on-field customization at the same time. ; peer-reviewed |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| Relation: | https://www.um.edu.mt/library/oar/handle/123456789/125408 |
| DOI: | 10.1109/TCSVT.2017.2711259 |
| Διαθεσιμότητα: | https://www.um.edu.mt/library/oar/handle/123456789/125408 https://doi.org/10.1109/TCSVT.2017.2711259 |
| Rights: | info:eu-repo/semantics/restrictedAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Αριθμός Καταχώρησης: | edsbas.7D6FC9EC |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.1109/TCSVT.2017.2711259 |
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