최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기정보처리학회논문지. KIPS transactions on software and data engineering. 소프트웨어 및 데이터 공학, v.10 no.12, 2021년, pp.561 - 568
김영민 (인천대학교 경제학과) , 안현욱 (고려대학교 전기전자공학부) , 전희균 (한국철도기술연구원 스마트트램연구실) , 김진평 (차세대융합기술연구원) , 장규진 (차세대융합기술연구원 컴퓨터비전 및 인공지능연구실) , 황현철 (한국철도기술연구원 스마트트램연구실)
In recent years, autonomous driving technologies have become a high-value-added technology that attracts attention in the fields of science and industry. For smooth Self-driving, it is necessary to accurately detect an object and estimate its movement speed in real time. CNN-based deep learning algo...
S. Lee, M. Myung, and T. Kim, "A study on tram traffic accidents characteristics and safety measures," Vol.39, No.4, pp.505-512, 2019.
A. Manglik, X. Weng, E. Ohn-Bar, and K. M. Kitanil, "Forecasting time-to-collision from monocular video: Feasibility, dataset, and challenges," In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.8081-8088, 2019.
H. Kataoka, T. Suzuki, K. Nakashima, Y. Satoh, and Y. Aoki, "Joint pedestrian detection and risk-level prediction with motion-representation-by-detection," In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, pp.1021-1027, 2020.
Y. Cai, L. Dai, H. Wang, L. Chen, Y. Li, M. A. Sotelo, and Z. Li, "Pedestrian motion trajectory prediction in intelligent driving from far shot first-person perspective video," IEEE Transactions on Intelligent Transportation Systems, pp.1-16, 2021.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You only look once: Unified, real-time object detection," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.779-788, 2016.
C. Y. Wang, H. Y. M. Liao, Y. H. Wu, P. Y. Chen, J. W. Hsieh, and I. H. Yeh, "CSPNet: A new backbone that can enhance learning capability of CNN," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp.390-391, 2020.
J. Park, S. Woo, J. Y. Lee, and I. S. Kweon, "Bam: Bottleneck attention module," arXiv preprint arXiv:1807.06514, 2018.
S. Elfwing, E. Uchibe, and K. Doya, "Sigmoid-weighted linear units for neural network function approximation in reinforcement learning," Neural Networks, Vol.107, pp.3-11, 2018.
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia, "Path aggregation network for instance segmentation," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.8759-8768, 2018.
J. Redmon and A. Farhadi, "Yolov3: An incremental improvement," In Computer Vision and Pattern Recognition, pp.1804-2767, 2018.
T. Y. Lin, et al., "Microsoft coco: Common objects in context," European Conference on Computer Vision. Springer, Cham, pp.740-755, 2014.
Ultralytics. YOLOv5 [Internet] https://github.com/ultralytics/yolov5
B. K. Horn and B. G. Schunck, "Determining optical flow," Artificial Intelligence, Vol.17, No.1-3, pp.185-203, 1981.
A. B. Khalifa, I. Alouani, M. A. Mahjoub, and N. E. B. Amara, "Pedestrian detection using a moving camera: A novel framework for foreground detection," Cognitive Systems Research, Vol.60, pp.77-96, 2020.
A. Bruhn, J. Weickert, and C. Schnorr, "Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods," International Journal of Computer Vision, Vol.61, No.3, pp.211-231, 2005.
G. Farneback, "Two-frame motion estimation based on polynomial expansion," Scandinavian Conference on Image Analysis. Springer, Berlin, Heidelberg, 2003.
A. Dosovitskiy, et al., "Flownet: Learning optical flow with convolutional networks," In Proceedings of the IEEE International Conference on Computer Vision, pp.2758-2766, 2015.
E. Ilg, N. Mayer, T. Saikia, M. Keuper, A. Dosovitskiy, and T. Brox, "Flownet 2.0: Evolution of optical flow estimation with deep networks," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.2462-2470, 2017.
M. Bevilacqua, A. Tsourdos, and A. Starr, "Egomotion estimation for monocular camera visual odometer," IEEE International Instrumentation and Measurement Technology Conference Proceedings, pp.1-6, 2016.
J. Lim and B. Han, "Generalized background subtraction using superpixels with label integrated motion estimation," European Conference on Computer Vision, Springer, Cham, pp.173-187, 2014.
L. Kurnianggoro, A. Shahbaz, and K. H. Jo, "Dense optical flow in stabilized scenes for moving object detection from a moving camera," 2016 16th International Conference on Control, Automation and Systems (ICCAS), pp.704-708, 2016.
J. Mao, H. Yu, , X. Gao, and L. Yu, "Complementary motion vector for motion prediction in video coding with longterm reference," In 2019 Picture Coding Symposium (PCS), pp.1-5, 2019.
M. Muhlhausen, L. Wohler, G. Albuquerque, and M. Magnor, "Iterative optical flow refinement for high resolution images," In IEEE International Conference on Image Processing (ICIP), pp.1282-1286, 2019.
Y. C. Kuo, C. T. Tsai, and C. H. Chang, "Fast estimation of pedestrian movement," Sensors and Materials, Vol.29, No.6, pp.713-726, 2017,
※ AI-Helper는 부적절한 답변을 할 수 있습니다.