PerSnake: a real-time pedestrian instance segmentation network using contour representation-Reference-Cited by-同舟云学术

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PerSnake: a real-time pedestrian instance segmentation network using contour representation

Published:2023-07-29 Issue:5 Volume:34 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Guo Zhiyang^ORCID,Wang Xincan,Zhang Zhihua,Huang Yingping,Ma Xueyin

Funder

the Shanghai Nature Science Foundation of the Shanghai Science and Technology Commission

the Natural Science Project of Jiangsu Province Colleges and Universities, China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s00138-023-01419-w.pdf

Reference31 articles.

1. Wang, X., Han, T-X., Yan, S.: An hog-lbp human detector with partial occlusion handling. In: Proceeding of IEEE international conferences on computer vision (ICCV), pp. 32–39. (2009)

2. Viola, P., Jones, M-J., Snow, D.: Detecting pedestrian using patterns of motion and appearance. In: Proceedings ninth IEEE international conference on computer vision IJCV, pp. 153–161. (2005)

3. Acques. J., Musse, S-R.: Shape-based pedestrian segmentation in still images. In; IEEE international symposium on multimedia (ISM), vol. 10, pp. 53–71. (2016)

4. Redmon, J., Farhadi, A.: YOLO9000: better, faster, stronger. In: IEEE conference on computer vision and pattern recognition, pp. 7263–7271. (2017)

5. Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp. 580–587. (2014)

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