과제정보
This work was supported by Incheon National University Research Grant 2019.
참고문헌
- A. Bochkovskiy, C. Y. Wang, and H. Y. M. Liao, "Yolov4: optimal speed and accuracy of object detection," 2020 [Online]. Available: https://arxiv.org/abs/2004.10934.
- J. Parsola, D. Gangodkar, and A. Mittal, "Post event investigation of multi-stream video data utilizing Hadoop cluster," International Journal of Electrical & Computer Engineering, vol. 8, no. 6, pp. 5089-5097, 2018. https://doi.org/10.11591/ijece.v8i6.pp5089-5097
- S. Karimi-Mansoub, R. Abri, and A. Yarici, "Concurrent real-time object detection on multiple live streams using optimization CPU and GPU resources in YOLOv3," in Proceedings of the 4th International Conference on Advances in Signal, Image and Video Processing, Athens, Greece, 2019, pp. 23-28.
- L. Tan, X. Dong, Y. Ma, and C. Yu, "A multiple object tracking algorithm based on YOLO detection," in Proceedings of 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Beijing, China, 2018, pp. 1-5. https://doi.org/10.1109/CISP-BMEI.2018.8633009
- D. Kim and S. Park, "An intelligent collaboration framework between edge camera and video analysis system," in Proceedings of 2018 International Conference on Electronics, Information, and Communication (ICEIC), Honolulu, HI, 2018, pp. 1-3. https://doi.org/10.23919/ELINFOCOM.2018.8330653
- G. Mattela, C. Pal, M. Tripathi, R. Gavval, and A. Acharyya, "Enterprise class deep neural network architecture for recognizing objects and faces for surveillance systems," in Proceedings of 2019 11th International Conference on Communication Systems & Networks (COMSNETS), Bengaluru, India, 2019, pp. 607-612. https://doi.org/10.1109/COMSNETS.2019.8711399
- S. Aslan and S. C. Ileri, "Performance analysis of ARM big.LITTLE architecture based mobile processor with multi-thread face detection," in Proceedings of 2019 4th International Conference on Computer Science and Engineering (UBMK), Samsun, Turkey, 2019, pp. 336-339. https://doi.org/10.1109/UBMK.2019.8907058
- X. Wang, "An efficient end-to-end object detection pipeline on GPU using CUDA," master's thesis, Eindhoven University of Technology, Eindhoven, The Netherlands, 2019.
- S. Liu, G. Liu, and H. Zhou, "A robust parallel object tracking method for illumination variations," Mobile Networks and Applications, vol. 24, pp. 5-17, 2019. https://doi.org/10.1007/s11036-018-1134-8
- J. Lee and K. I. Hwang, "YOLO with adaptive frame control for real-time object detection applications," Multimedia Tools and Applications, vol. 81, pp. 36375-36396, 2022. https://doi.org/10.1007/s11042-021-11480-0