Abstract
Vehicle logo recognition is an important part of vehicle identification in intelligent transportation systems. State-of-the-art vehicle logo recognition approaches typically consider training models on large datasets. However, there might only be a small training dataset to start with and more images can be obtained during the real-time applications. This paper proposes an online image recognition framework which provides solutions for both small and large datasets. Using this recognition framework, models are built efficiently using a weight updating scheme. Another novelty of this work is that the Cauchy prior logistic regression with conjugate gradient descent is proposed to deal with the multinomial classification tasks. The Cauchy prior results in a quicker convergence speed for the weight updating process which could decrease the computational cost for both online and offline methods. By testing with a publicly available dataset, the Cauchy prior logistic regression deceases the classification time by 59%. An accuracy of up to 98.80% is achieved when the proposed framework is applied.
Original language | English |
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Title of host publication | 2017 20th International Conference on Information Fusion (Fusion) |
Publisher | IEEE |
Number of pages | 8 |
ISBN (Electronic) | 978-0-9964-5270-0 |
ISBN (Print) | 978-1-5090-4582-2 |
DOIs | |
Publication status | Published - 15 Aug 2017 |
Event | 20th International Conference on Information Fusion, Fusion 2017 - Xi'an, China Duration: 10 Jul 2017 → 13 Jul 2017 |
Conference
Conference | 20th International Conference on Information Fusion, Fusion 2017 |
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Country/Territory | China |
City | Xi'an |
Period | 10/07/17 → 13/07/17 |
Funding
We appreciate the support of the SETA project funded from the European Unions Horizon 2020 research and innovation programme under Grant Agreement No. 688082. The authors are also grateful to the UK-China Mobility grant: Multi-vehicle tracking and classification for intelligent transportation systems (Reference number E150823) from the UK Royal Society fund. We acknowledge also the EC Seventh Framework Programme [FP7 2013-2017] TRAcking in compleX sensor systems (TRAX) Grant agreement no.: 607400.
Keywords
- Cauchy Prior
- Conjugate Gradient Descent
- Logistic Regression
- Online Learning
- Vehicle Logo Recognition