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New method for the fusion of complementary information from infrared and visual images for object detection

New method for the fusion of complementary information from infrared and visual images for object detection

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  • Author(s): I. Ulusoy 1  and  H. Yuruk 1, 2
    • View affiliations
    • Affiliations: 1: Computer Vision and Intelligent Systems Research Laboratory, Electrical and Electronics Engineering Department, METU, Ankara, Turkey
      2: Computer Vision and Intelligent Systems Research Laboratory, Electrical and Electronics Engineering Department, ASELSAN Inc., Ankara, Turkey
  • Source: Volume 5, Issue 1, February 2011, p. 36 – 48
    DOI:  10.1049/iet-ipr.2009.0374 , Print ISSN 1751-9659, Online ISSN 1751-9667
© The Institution of Engineering and Technology
Published

Visual and infrared cameras have complementary properties and using them together may increase the performance of object detection applications. Although the fusion of visual and infrared information results in a better recall rate than using only one of those domains, there is always a decrease in the precision rate whereas the infrared domain on its own always has higher precision. Thus, the fusion of these domains is meaningful only for a better recall rate, which means that more foreground pixels are detected correctly. This study presents a new computationally more efficient and simpler method for extracting the complementary information from both domains and fusing them to obtain better recall rates than those previously achieved. The method has been tested using a well-known database and a database created for the study and compared with earlier fusion methods.

Inspec keywords: feature extraction; image fusion; object detection

Other keywords: object detection; visual images; complementary information fusion; information extraction; infrared images

Subjects: Computer vision and image processing techniques; Optical, image and video signal processing

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