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Keywords

Deep Learning, Target Tracking, Video and Image Processing, Video Error Concealment

Countries

Iran

Biography

Hossein Ghanei-Yakhdan received the B.Sc. degree in electrical engineering from Isfahan University of Technology, Isfahan, Iran, in 1989, the M.Sc. degree in 1993 from K. N. Toosi University of Technology, Tehran, Iran, and the Ph.D. degree in 2009 from Ferdowsi University of Mashhad, Mashhad, Iran. Since 1993, he is with the Department of Electrical Engineering, Yazd University, Yazd, Iran. He is currently an Associate Professor in the Department of Electrical Engineering, at Yazd University, where he is the director of Digital Image & Video Processing Lab (DIVPL). His research interests are in digital video and image processing, object tracking, and deep learning.

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Works (8)

Effective fusion of deep multitasking representations for robust visual tracking

The Visual Computer
2022-12 | Journal article
DOI: 10.1007/s00371-021-02304-1
Contributors: Seyed Mojtaba Marvasti-Zadeh; Hossein Ghanei-Yakhdan; Shohreh Kasaei; Kamal Nasrollahi; Thomas B. Moeslund
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Crossref

Deep Learning for Visual Tracking: A Comprehensive Survey

IEEE Transactions on Intelligent Transportation Systems
2022-05 | Journal article
DOI: 10.1109/TITS.2020.3046478
Contributors: Seyed Mojtaba Marvasti-Zadeh; Li Cheng; Hossein Ghanei-Yakhdan; Shohreh Kasaei
Source: check_circle
Crossref

Real-time object tracking based on sparse representation and adaptive particle drawing

The Visual Computer
2022-03 | Journal article
DOI: 10.1007/s00371-020-02055-5
Contributors: Mohammad Zolfaghari; Hossein Ghanei-Yakhdan; Mehran Yazdi
Source: check_circle
Crossref

COMET: Context-Aware IoU-Guided Network for Small Object Tracking

2021 | Book chapter
DOI: 10.1007/978-3-030-69532-3_36
Contributors: Seyed Mojtaba Marvasti-Zadeh; Javad Khaghani; Hossein Ghanei-Yakhdan; Shohreh Kasaei; Li Cheng
Source: check_circle
Crossref

Efficient scale estimation methods using lightweight deep convolutional neural networks for visual tracking

Neural Computing and Applications
2021-07 | Journal article
DOI: 10.1007/s00521-020-05586-z
Contributors: Seyed Mojtaba Marvasti-Zadeh; Hossein Ghanei-Yakhdan; Shohreh Kasaei
Source: check_circle
Crossref

Adaptive exploitation of pre-trained deep convolutional neural networks for robust visual tracking

Multimedia Tools and Applications
2021-06 | Journal article
DOI: 10.1007/s11042-020-10382-x
Contributors: Seyed Mojtaba Marvasti-Zadeh; Hossein Ghanei-Yakhdan; Shohreh Kasaei
Source: check_circle
Crossref

Content-based hybrid error concealment approach for packet video communication over the noisy channels

Multimedia Tools and Applications
2021-03 | Journal article
DOI: 10.1007/s11042-020-10290-0
Contributors: Seyyed Mohammad Zabihi; Hossein Ghanei-Yakhdan; Nasser Mehrshad
Source: check_circle
Crossref

Real-time object tracking based on an adaptive transition model and extended Kalman filter to handle full occlusion

The Visual Computer
2020-04 | Journal article
DOI: 10.1007/s00371-019-01652-3
Contributors: Mohammad Zolfaghari; Hossein Ghanei-Yakhdan; Mehran Yazdi
Source: check_circle
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