Near-infrared image filtering for pedestrian surveillance

Kathryn N. Rodhouse; Steve E. Watkins

doi:10.1117/12.915375

4 April 2012 Near-infrared image filtering for pedestrian surveillance

Kathryn N. Rodhouse, Steve E. Watkins

Proceedings Volume 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012; 83472K (2012) https://doi.org/10.1117/12.915375
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2012, San Diego, California, United States

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.

Citation Download Citation

Kathryn N. Rodhouse and Steve E. Watkins "Near-infrared image filtering for pedestrian surveillance", Proc. SPIE 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, 83472K (4 April 2012); https://doi.org/10.1117/12.915375

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KEYWORDS

Image processing

Image filtering

Detection and tracking algorithms

Surveillance

Visible radiation

Infrared imaging

Cameras

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