Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:P2
Session:
Number:P2-13
Robust Occlusion Recognition Based on Ring Projection Transforms
Yun-su Choi, Jin-hoon Park, Ghulam Hussain, Jong-hak Kim, Jin-won Park, Jun-dong Cho ,
pp.959-962
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
In this paper, we propose a method for locating occluded object and measuring its angle using Ring Projection Transform (RPT) template matching. The current template matching method does not accurately recognize an object that is occluded in a scene image because correlations between the reference template and scene image decrease with occlusion. However, the proposed method divides the template image into sectors to allow partial recognition for locating an occluded object. The angle of the object can also be calculated using the center point of the partially recognized area