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Building Recognition Based on Geometric Model in FLIR Image Sequences

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Abstract

In this paper, we propose a novel method for building recognition from forward looking infrared (FLIR) image sequences with clutter in the background for automatic target recognition (ATR). In the first phase, dynamic feature space is defined, and camera model and multi-scale characteristic views model that are used to predict model’s features based on 3D object reference model are introduced. In the second phase, the original image is preprocessed using morphological grayscale filters that respond to the size, shape and orientation of object to suppress the background that contains the non-stationary nature and man-made objects of the clutter image. In the following phase, segmentation for the result of image preprocessing is used to obtain regions of interest (ROIs), and features extraction of ROIs and matching retain ROIs that are closest to predicted features. Lastly, the object is identified by fusing the line features. Experiment results show the algorithm can recognize the object from FLIR image sequences with a complicated background.

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Acknowledgments

This work is supported by the Project of the National Natural Science Foundation of China under Grant No.60736010.

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Authors and Affiliations

  1. State Key Laboratory for Multispectral Information Processing Technologies, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, China

    Xiaoyu Yang & Tianxu Zhang

  2. China Academy of Launch Vehicle Technology, Beijing, China

    Ying Lu

Authors
  1. Xiaoyu Yang
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  2. Tianxu Zhang
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  3. Ying Lu
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Correspondence to Xiaoyu Yang.

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Yang, X., Zhang, T. & Lu, Y. Building Recognition Based on Geometric Model in FLIR Image Sequences. J Infrared Milli Terahz Waves 30, 468–483 (2009). https://doi.org/10.1007/s10762-009-9470-1

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  • DOI: https://doi.org/10.1007/s10762-009-9470-1

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