İstati̇sti̇ksel tikizlik kesti̇ri̇mi̇ne dayali gerçek zamanli dai̇resel nesne tespi̇ti̇

Translated title of the contribution: Realtime circular object detection based on the statistical compactness estimation

Burak Benligiray*, Cihan Topal, Cüneyt Akinlar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Gathering statistical and geometrical information by processing the shape contours is the common way of feature extraction on object detection and recognition studies. Compactness is an important shape descriptor which specifies the similarity between a shape and a circle. In this study, we propose a new compactness measure based on examining the distribution of the contour moments with respect to the shape's centroid. First, the contours are extracted with the Edge Drawing algorithm from the image. Then, the contours moments are computed and their distributions are examined. As a result, detection of the circular shapes among the extracted closed contours with a desired circular similarity becomes possible. With its high accuracy and low complexity, the proposed method is a convenient for realtime applications.

Translated title of the contributionRealtime circular object detection based on the statistical compactness estimation
Original languageTurkish
Title of host publication2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 20th Signal Processing and Communications Applications Conference, SIU 2012 - Fethiye, Mugla, Turkey
Duration: 18 Apr 201220 Apr 2012

Publication series

Name2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

Conference

Conference2012 20th Signal Processing and Communications Applications Conference, SIU 2012
Country/TerritoryTurkey
CityFethiye, Mugla
Period18/04/1220/04/12

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