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Global motion-aware robust visual object tracking for electro optical targeting systems
ID
Kim, Byeong Hak
(
Avtor
),
ID
Lukežič, Alan
(
Avtor
),
ID
Lee, Jong Hyuk
(
Avtor
),
ID
Jung, Ho Min
(
Avtor
),
ID
Kim, Min Young
(
Avtor
)
PDF - Predstavitvena datoteka,
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(6,38 MB)
MD5: 984F1CD3A560CC54BC05FD211C9E588C
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/1424-8220/20/2/566
Galerija slik
Izvleček
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.
Jezik:
Angleški jezik
Ključne besede:
visual object tracking
,
camera motion
,
motion aware
,
robust tracking
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FRI - Fakulteta za računalništvo in informatiko
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2020
Št. strani:
20 str.
Številčenje:
Vol. 20, iss. 2, art. 566
PID:
20.500.12556/RUL-133086
UDK:
004.93
ISSN pri članku:
1424-8220
DOI:
10.3390/s20020566
COBISS.SI-ID:
1538564547
Datum objave v RUL:
11.11.2021
Število ogledov:
766
Število prenosov:
149
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Sensors
Skrajšan naslov:
Sensors
Založnik:
MDPI
ISSN:
1424-8220
COBISS.SI-ID:
10176278
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
20.01.2020
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
vizualno sledenje objektov
,
gibanje kamere
,
robustno vizualno sledenje
Projekti
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Hanwha Systems
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Korean government (MOTIE), Korea Institute for the Advancement of Technology
Številka projekta:
P0000535
Naslov:
Multichannel telecommunications control unit and associated software
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Korean government (Ministry of Science and ICT), Institute for Information & Communications Technology Promotion
Številka projekta:
2016-0-00564
Naslov:
Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Ministry of Science and ICT, Daegu Gyeongbuk Institute of Science and Technology
Številka projekta:
19-ST-01
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