Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning-Reference-Cited by-同舟云学术

Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning

Author:

Zheng Yajing¹^ORCID,Yu Zhaofei¹^ORCID,Wang Song²^ORCID,Huang Tiejun¹^ORCID

Affiliation:

1. National Engineering Laboratory for Video Technology, School of Computer Science, Peking University, Beijing, China

2. Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference66 articles.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Optical camera communications using dynamic vision sensor: A practical assessment;2023 South American Conference On Visible Light Communications (SACVLC);2023-11-08

3. Recognizing High-Speed Moving Objects with Spike Camera;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Entropy Coding-based Lossless Compression of Asynchronous Event Sequences;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

5. Distractor-Aware Event-Based Tracking;IEEE Transactions on Image Processing;2023