EXTRACTION OF STANDING HUMAN BODIES FROM IMAGES WITH MULTILEVEL SEGMENTATION AND SPLINE REGRESSION
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 10
Abstract
The ability to extract and detection of human activities by computer vision is very important with many potentialapplications. Extraction of human bodies from images from respective digital image has accomplishedconsideration in recent times and extensive variety of research is carried on to meet the sought result. In this paperproposed a novel strategy to extract human bodies from images where the scene density, the highly dimensionalpose space, and various human appearances are handled in better way compared to conventional state of artmethods. The proposed approach is ordered into five distinct strides (i) face detection, (ii) Multiple levelsegmentation, (iii) skin detection, (iv) upper body segmentation and (v) lower body segmentation respectively. Inthis paper we propose another method spline regression to extraction of human bodies from single images. Finallythe simulation results have achieved better performance and high proficiency over traditional state of art methods.
Authors and Affiliations
R Swathi
Keywords
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- EP ID EP133798
- DOI 10.5281/zenodo.163304
- Views 64
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