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Cited by 78Video Surveillance and Tracking MethodsAdvanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Regional deep learning model for visual tracking

Wu, Guoxing, Lu, Wenjie, Gao, Guangwei, Zhao, Chunxia, Liu, Jiayin·2016·Neurocomputing
DOI 10.1016/j.neucom.2015.10.064
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Crossref · 10.1016/j.neucom.2015.10.064

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  • Recent studies have reported that deep learning methods have been successfully applied to image and video classification, visual tracking, speech recognition, and natural language processing.

    “Recent studies have reported that deep learning methods have been successfully applied to many applications areas e.g., image and video classification [11-13], visual tracking [14], speech recognition [15] and natural language processing [16].”

    From Medical image retrieval using deep convolutional neural network (2017) · cites this paper as [14]

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References 45 · Cited by 78

Authors
Wu, G., Lu, W., Gao, G., Zhao, C., & Liu, J.
Affiliations
  • Nanjing University of Science and Technology (CN)
  • Nanjing University of Posts and Telecommunications (CN)
Corresponding author
Wu, Guoxing
ORCID
Venue
Neurocomputing
Publisher
Elsevier BV
Published
2016-01
Volume
175
Pages
310-323
ISSN
0925-2312 (ISSN-L)
DOI
10.1016/j.neucom.2015.10.064
OpenAlex
W2212435496
Cited by
78
References
45
Citations by year
2026: 2 · 2025: 3 · 2024: 3 · 2023: 9 · 2022: 9 · 2021: 5 · 2020: 13 · 2019: 11 · 2018: 9 · 2017: 5 · 2016: 9
FWCI
6.65
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Neurocomputing (publishedVersion)
Funders
  • National Natural Science Foundation of China (61272220, 61401212)
  • Fundamental Research Funds for the Central Universities (30915011321)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords
visual object tracking, occlusion handling, factorial hidden Markov model, online training, particle filter

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