Flow‐assisted visual tracking using event cameras

Author:

Jiang Rui1ORCID,Wang Qinyi12,Shi Shunshun1,Mou Xiaozheng1,Chen Shoushun12

Affiliation:

1. CelePixel Technology Co. Ltd 71 Nanyang Drive Singapore638075

2. School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Reference33 articles.

1. Pyramid methods in image processing;Adelson E. H.;RCA Eng,1984

2. Zhang Z. Hong Wong K.:Pyramid‐based visual tracking using sparsity represented mean transform. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp.1226–1233. Columbus (2014)

3. Zaveri M. A. Merchant S. N. Desai U. B.:Small and fast moving object detection and tracking in sports video sequences. In:2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763) vol.3 pp.1539–1542. IEEE Taipei June (2004)

4. Xiao J. et al.:Vehicle detection and tracking in wide field‐of‐view aerial video. In:2010 IEEE computer Society Conference on Computer Vision And Pattern Recognition pp.679–684.IEEE San Francisco (2010)

5. Fast-moving target tracking based on mean shift and frame-difference methods

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