@inproceedings{oai:kyutech.repo.nii.ac.jp:00006078,
 author = {Ono, Yuta and Tan, Joo kooi and タン, ジュークイ and Sato, Akitoshi},
 book = {International Workshop on Advanced Image Technology (IWAIT) 2019},
 month = {Jan},
 note = {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., International Workshop on Advanced Image Technology (IWAIT 2019), 6-9 January, 2019, Singapore},
 publisher = {Society of Photo-Optical Instrumentation Engineers(SPIE)},
 title = {Finding a rush-out human employing a human body direction detector},
 year = {2019}
}