Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Reference68 articles.
1. Lin, H., Kong, Z., Wang, W., Liang, K., Chen, J.: Pedestrian detection in fish-eye images using deep learning: combine faster R-CNN with an effective cutting method. In: Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, pp. 55–59 (2018)
2. Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91–99 (2017)
3. Demirkus, M., Wang, L., Eschey, M., Kaestle, H., Galasso, F.: People detection in fish-eye top-views. In: VISIGRAPP (5: VISAPP), pp. 141–148 (2017)
4. Saeidi, M., Arabsorkhi, A.: A novel backbone architecture for pedestrian detection based on the human visual system. Vis. Comput. 38(6), 2223–2237 (2022)
5. Wang, T., Chang, C.W., Wu, Y.S.: Template-based people detection using a single downward-viewing fisheye camera. In: 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pp. 719–723. IEEE (2017)
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