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Remarkable point extraction from overlapping analysis of view fields in multiple smartphones shooting environment
Author(s): Shogo Tokai; Fumiaki Motoyama
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Paper Abstract

In this paper, we propose a method of object tracking using viewing directions of multiple spectators' cameras. Attitude sensors in a smartphone can measure its shooting direction on time. By collecting the directions and analyzing the overlapping situation of multiple view fields, a remarkable part of the scene situation can be extracted as the most overlapped area of them. We implemented the analysis by using the blending function with a configuration of interested degree map in the view fields. We adopted it to actual sport scene situations, also, we got good estimation results close to the ground truth.

Paper Details

Date Published: 22 March 2019
PDF: 5 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110493F (22 March 2019); doi: 10.1117/12.2521612
Show Author Affiliations
Shogo Tokai, Univ. of Fukui (Japan)
Fumiaki Motoyama, Univ. of Fukui (Japan)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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