Object Detection in Video Surveillance Based on Multiscale Frame Representation and Block Processing by a Convolutional Neural Network

Author:

Bohush Rykhard,Ma Guangdi,Weichen Yang,Ablameyko Sergey

Publisher

Pleiades Publishing Ltd

Subject

Computer Vision and Pattern Recognition

Reference22 articles.

1. A. Bochkovskiy, C.-Y. Wang, and H.-Y. M. Liao, “YOLOv4: Optimal speed and accuracy of object detection,” 2020, arXiv:2004.10934 [cs.CV].

2. R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Region-based convolutional networks for accurate object detection and segmentation,” IEEE Trans. Pattern Anal. Mach. Intell. 38, 142–158 (2016). https://doi.org/10.1109/TPAMI.2015.2437384

3. R. Girshick, “Fast R-CNN,” in IEEE Int. Conf. on Computer Vision (ICCV), Santiago, 2015 (IEEE, 2015), pp. 1440–1448. https://doi.org/10.1109/ICCV.2015.169

4. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 4th ed. (Pearson Education, New York, 2018).

5. K. Goulekas, Visual Effects in a Digital World: A Comprehensive Glossary of over 7000 Visual Effects Terms, (Morgan Kaufmann, San Diego, Calif., 2001).

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