A Fast Vision-Based Air Object Detection Algorithm

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Volume 5, Issue 2

Huan Wang, Mingwu Ren, Jingyu Yang

J. Info. Comput. Sci. , 5 (2010), pp. 089-098.

[An open-access article; the PDF is free to any online user.]

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Abstract

Most of air object detection techniques are based on laser or radar sensor. This paper addresses a novel technique for air object detection which is based on computer vision, namely it detects object with sequence images acquired by visible or thermal infrared cameras. It is based on single frame detection other than classical background subtraction, which means that it can tolerate motions or jitters of a camera and sudden changes of illumination. Moreover, it can be used both in visible-light and infrared images. Extensive experiments demonstrate the effectiveness and efficiency of the proposed algorithm. It has been successfully used in movable surveillance system.

Keywords

Air object detection, Chain-code, OTSU Segmentation, MRFs

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@Article{JICS-5-089, author = {Huan Wang, Mingwu Ren, Jingyu Yang}, title = {A Fast Vision-Based Air Object Detection Algorithm}, journal = {Journal of Information and Computing Science}, year = {2010}, volume = {5}, number = {2}, pages = {089--098}, abstract = {Most of air object detection techniques are based on laser or radar sensor. This paper addresses a novel technique for air object detection which is based on computer vision, namely it detects object with sequence images acquired by visible or thermal infrared cameras. It is based on single frame detection other than classical background subtraction, which means that it can tolerate motions or jitters of a camera and sudden changes of illumination. Moreover, it can be used both in visible-light and infrared images. Extensive experiments demonstrate the effectiveness and efficiency of the proposed algorithm. It has been successfully used in movable surveillance system. }, issn = {3080-180X}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22716.html} }

TY - JOUR T1 - A Fast Vision-Based Air Object Detection Algorithm AU - Huan Wang, Mingwu Ren, Jingyu Yang JO - Journal of Information and Computing Science VL - 2 SP - 089 EP - 098 PY - 2010 DA - 2010/06 SN - 5 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22716.html KW - Air object detection, Chain-code, OTSU Segmentation, MRFs AB - Most of air object detection techniques are based on laser or radar sensor. This paper addresses a novel technique for air object detection which is based on computer vision, namely it detects object with sequence images acquired by visible or thermal infrared cameras. It is based on single frame detection other than classical background subtraction, which means that it can tolerate motions or jitters of a camera and sudden changes of illumination. Moreover, it can be used both in visible-light and infrared images. Extensive experiments demonstrate the effectiveness and efficiency of the proposed algorithm. It has been successfully used in movable surveillance system.

Huan Wang, Mingwu Ren, Jingyu Yang. (2010). A Fast Vision-Based Air Object Detection Algorithm. Journal of Information and Computing Science. 5 (2). 089-098. doi:

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