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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제2호
- 발행연도
- 2021.1
- 수록면
- 411 - 425 (15page)
이용수
초록· 키워드
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In this paper, a vehicle recognition algorithm based on deep convolutional neural network and compressiondictionary is proposed. Firstly, the network structure of fine vehicle recognition based on convolutional neuralnetwork is introduced. Then, a vehicle recognition system based on multi-scale pyramid convolutional neuralnetwork is constructed. The contribution of different networks to the recognition results is adjusted by theadaptive fusion method that adjusts the network according to the recognition accuracy of a single network. Theproportion of output in the network output of the entire multiscale network. Then, the compressed dictionarylearning and the data dimension reduction are carried out using the effective block structure method combinedwith very sparse random projection matrix, which solves the computational complexity caused by highdimensionalfeatures and shortens the dictionary learning time. Finally, the sparse representation classificationmethod is used to realize vehicle type recognition. The experimental results show that the detection effect ofthe proposed algorithm is stable in sunny, cloudy and rainy weather, and it has strong adaptability to typicalapplication scenarios such as occlusion and blurring, with an average recognition rate of more than 95%.
목차
등록된 정보가 없습니다.
참고문헌 (21)
참고문헌 신청
K. Yoneda / 2017 / Convolutional neural network based vehicle turn signal recognition / Proceedings of 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) :204~205
D. Chowdhury / 2019 / An adaptive technique for computer vision based vehicles license plate detection system / Proceedings of 2019 International Conference on Opto-Electronics and Applied Optics (Optronix) :1~6
K. F. Hussain / 2016 / On-road vehicle classification based on random neural network and bagof-visual words / Probability in the Engineering and Informational Sciences 30(3):403~412
J. Yang / 2018 / 3D panoramic virtual reality video quality assessment based on 3D convolutional neural networks / IEEE Access 6:38669~38682
U. Muhammad / 2018 / Feature fusion with deep supervision for remote-sensing image scene classification / Proceedings of 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) :249~253
D. Chowdhury / 2019 / An adaptive technique for computer vision based vehicles license plate detection system / Proceedings of 2019 International Conference on Opto-Electronics and Applied Optics (Optronix) :1~6
K. F. Hussain / 2016 / On-road vehicle classification based on random neural network and bagof-visual words / Probability in the Engineering and Informational Sciences 30(3):403~412
J. Yang / 2018 / 3D panoramic virtual reality video quality assessment based on 3D convolutional neural networks / IEEE Access 6:38669~38682
U. Muhammad / 2018 / Feature fusion with deep supervision for remote-sensing image scene classification / Proceedings of 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) :249~253
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