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Spatial domain analysis based on human position and movement recognition for the top-view imaging systems
Author(s): Seung Jun Lee; Byeong Hak Kim; Young Hyoung Kim; Min Young Kim
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Paper Abstract

The smart home appliances are dramatically growing into a big part of the consumer electronics market and they are required to have many convenient functions for users. Therefore, many products are using top-view imaging systems for advanced technologies to recognize object positions and movement for human and machine interaction. Although the topview imaging system has already developed for many applications, not only home appliances but also closed-circuit televisions (CCTV) and unmanned aerial vehicles (UAV), it still has many drawbacks. Especially the top-view image shows asymmetrical features and radially distorted scenes around the corners like omnidirectional view images. Therefore, conventional human detection methods are struggled with the computational complexity and low accuracy to calibrate its artifacts. In this paper, we propose an efficient method to recognize spatial domain of human positions and movements based on motion vector detection using multiple feature maps on the top-view images. In the experimental results, we show efficient computation time and results of spatial domain detection qualitatively.

Paper Details

Date Published: 6 September 2019
PDF: 7 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111371U (6 September 2019); doi: 10.1117/12.2534909
Show Author Affiliations
Seung Jun Lee, Kyungpook National Univ. (Korea, Republic of)
Byeong Hak Kim, Kyungpook National Univ. (Korea, Republic of)
Hanwha Systems Co. (Korea, Republic of)
Young Hyoung Kim, Kyungpook National Univ. (Korea, Republic of)
LG Electronics, Inc. (Korea, Republic of)
Min Young Kim, Kyungpook National Univ. (Korea, Republic of)
Research Ctr. for Neurosurgical Robotic Systems (Korea, Republic of)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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