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Proceedings Paper

Near-infrared image filtering for pedestrian surveillance
Author(s): Kathryn N. Rodhouse; Steve E. Watkins
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Paper Abstract

An image processing approach is investigated which has low computational complexity and which uses nearinfrared imaging. The target application is a surveillance system for pedestrian traffic. Near-infrared light has potential benefits including non-visible illumination requirements. An image-processing algorithm for monitoring pedestrians is implemented in outdoor and indoor environments with frequent traffic. The image sets consist of persons walking in the presence of foreground as well as background objects at different times during the day. The complex, cluttered environments are highly variable, e.g. shadows and moving foliage. The approach consists of thresholding an image and creating a silhouette of selected objects in the scene. Filtering is used to eliminate noise. The computational results using MATLAB© show that the algorithm can effectively manipulate near-infrared images and that effective filtering is possible even in the presence of system noise and environmental clutter. The potential for automated surveillance based on near-infrared imaging and neural-network based feature processing is discussed.

Paper Details

Date Published: 4 April 2012
PDF: 14 pages
Proc. SPIE 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, 83472K (4 April 2012); doi: 10.1117/12.915375
Show Author Affiliations
Kathryn N. Rodhouse, Missouri Univ. of Science and Technology (United States)
Steve E. Watkins, Missouri Univ. of Science and Technology (United States)


Published in SPIE Proceedings Vol. 8347:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012
Andrew L. Gyekenyesi, Editor(s)

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