Human body region enhancement method based on Kinect infrared imaging

Lei Yang; Yubo Fan; Xiaowei Song; Wenjing Cai

doi:10.1117/12.2246458

31 October 2016 Human body region enhancement method based on Kinect infrared imaging

Lei Yang, Yubo Fan, Xiaowei Song, Wenjing Cai

Proceedings Volume 10020, Optoelectronic Imaging and Multimedia Technology IV; 100201A (2016) https://doi.org/10.1117/12.2246458
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

Abstract

To effectively improve the low contrast of human body region in the infrared images, a combing method of several enhancement methods is utilized to enhance the human body region. Firstly, for the infrared images acquired by Kinect, in order to improve the overall contrast of the infrared images, an Optimal Contrast-Tone Mapping (OCTM) method with multi-iterations is applied to balance the contrast of low-luminosity infrared images. Secondly, to enhance the human body region better, a Level Set algorithm is employed to improve the contour edges of human body region. Finally, to further improve the human body region in infrared images, Laplacian Pyramid decomposition is adopted to enhance the contour-improved human body region. Meanwhile, the background area without human body region is processed by bilateral filtering to improve the overall effect. With theoretical analysis and experimental verification, the results show that the proposed method could effectively enhance the human body region of such infrared images.

Citation Download Citation

Lei Yang, Yubo Fan, Xiaowei Song, and Wenjing Cai "Human body region enhancement method based on Kinect infrared imaging", Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 100201A (31 October 2016); https://doi.org/10.1117/12.2246458

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KEYWORDS

Infrared imaging

Infrared radiation

Image filtering

Cameras

Image enhancement

Image segmentation

Detection and tracking algorithms

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