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http://dx.doi.org/10.5762/KAIS.2014.15.12.7302

Target Object Detection Based on Robust Feature Extraction  

Jang, Seok-Woo (Department of Digital Media, Anyang University)
Huh, Moon-Haeng (Department of Digital Media, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.15, no.12, 2014 , pp. 7302-7308 More about this Journal
Abstract
Detecting target objects robustly in natural environments is a difficult problem in the computer vision and image processing areas. This paper suggests a method of robustly detecting target objects in the environments where reflection exists. The suggested algorithm first captures scenes with a stereo camera and extracts the line and corner features representing the target objects. This method then eliminates the reflected features among the extracted ones using a homographic transform. Subsequently, the method robustly detects the target objects by clustering only real features. The experimental results showed that the suggested algorithm effectively detects the target objects in reflection environments rather than existing algorithms.
Keywords
Edge Detection; Feature Extraction; Lines; Reflection; Target Objects;
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Times Cited By KSCI : 1  (Citation Analysis)
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