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Finding a rush-out human employing a human body direction detector
Author(s): Yuta Ono; Joo Kooi Tan; Akitoshi Sato
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Paper Abstract

Recently, along with rapid development of the image processing technology, image processing has been adopted in various fields for various purposes. Development of an intelligent machine that mounts a camera as an eye is a thriving technology, and it is employed not only in industrial fields but also in the fields involving ordinary citizens. Especially, development of Intelligent Transportation Systems is very active and many methods of detecting human and automobiles have been proposed using laser radars, LIDARs or in-vehicle cameras. However, they remain only on the detection of the presence of such objects and the methods to detect rush-out objects into a road have not been developed yet. In this paper, a method is proposed which detects a human from an image with his/her body direction information. This intends to detect a human who might rush out into a road in front of an ego-car. In order that the human model used for extracting the feature may capture the appearance of human rush-out properly, directional human models and classifiers are introduced. The proposed method was examined its performance experimentally and the effectiveness of the method was shown/ satisfactory results were obtained.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110491C (22 March 2019); doi: 10.1117/12.2521597
Show Author Affiliations
Yuta Ono, Kyushu Institute of Technology (Japan)
Joo Kooi Tan, Kyushu Institute of Technology (Japan)
Akitoshi Sato, Kyushu Institute of Technology (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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