Authors:
Kento Nishibori
1
;
Tomokazu Takahashi
2
;
Daisuke Deguchi
1
;
Ichiro Ide
1
and
Hiroshi Murase
1
Affiliations:
1
Nagoya University, Japan
;
2
Nagoya University and Gifu Shotoku Gakuen University, Japan
Keyword(s):
Exemplar-based Super-resolution, Human Body Image, High-frequency Component, Surveillance System, Image Quality Assessment.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
Abstract:
In this paper, we propose an exemplar-based super-resolution method applied to a human body in a surveillance video. Since persons are usually captured as low-resolution images by a video surveillance system, it is sometimes necessary to perform detection and identification of persons from not only a human face but also from the human body appearance. The super-resolution for a human body image is difficult because the appearances of person images vary according to the color of clothing and the posture of persons. Thus, we focus on the high-frequency components that could restore the lost high-frequency components of the low resolution image regardless to the variation of the clothing. Therefore, the purpose of the work presented in this paper is to apply the exemplar-based super-resolution using high-frequency components for a lowresolution human body image to generate a high-resolution human body image so that both computer systems and humans can identify persons more accurately. A
s a result of experiments, we confirmed the effectiveness of the proposed super-resolution method.
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