Abstract
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Article Information:
Pedestrian and Object Detection Using a Spatial Filter in the Dark Environment
P. Selvarani and Sairam Natarajan
Corresponding Author: P.Selvarani
Submitted: April 12, 2012
Accepted: May 06, 2012
Published: January 11, 2013 |
Abstract:
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This study dedicates a new approach for detecting the pedestrians and the objects in the dark environment
using a spatial filter. Detecting an actual position of an object and a person in the dark region is an atomic challenge
for many researchers. To detect the objects and the persons, a spatial filter is utilized. The basic idea of the spatial
filter is adapted by varying its radii of the dark region. Based on the radii’s variation, the persons and the objects are
detected. Finally, the actual position of detecting objects and persons are segmented using object compensation.
Extensive experiments have been carried out on an object equipped with an infrared/digital camera and preliminarily
tested in different situations. This proposed method is achieved 90.7% accuracy in detecting an actual position of the
human and the object in the dark area.
Key words: Dark regions, IR/digital image, segmentation, spatial filter, , ,
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Abstract
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Cite this Reference:
P. Selvarani and Sairam Natarajan, . Pedestrian and Object Detection Using a Spatial Filter in the Dark Environment. Research Journal of Applied Sciences, Engineering and Technology, (02): 357-360.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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