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Journal article

Multiple-model fully convolutional neural networks for single object tracking on thermal infrared video

Abstract:

The availability of affordable thermal infrared (TIR) camera has instigated its usage in various research fields, especially for the cases that require images to be captured in dark surroundings. One of the low-level tasks required by most TIR-based researches is the need to track an object throughout a video sequence. The main challenge posed by TIR camera usage is the lack of texture to differentiate two nearby objects of the same class. According to the VOT-TIR 2016 challenge, the best ful...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/access.2018.2859595

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Role:
Author
ORCID:
0000-0002-4010-3990
Publisher:
IEEE
Journal:
IEEE Access More from this journal
Volume:
6
Pages:
42790-42799
Publication date:
2018-07-25
Acceptance date:
2018-07-22
DOI:
EISSN:
2169-3536
ISSN:
2169-3536
Keywords:
Pubs id:
pubs:892603
UUID:
uuid:0d504698-7b2c-4af2-bd4b-ede08a17bb85
Local pid:
pubs:892603
Source identifiers:
892603
Deposit date:
2019-08-23

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