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Proceedings Paper

Template-matched filtering for automatic object segmentation in real-life scenes
Author(s): Kenia Picos; Adán Hirales-Carbajal; Victor H. Díaz-Ramírez
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Paper Abstract

A reliable approach for object segmentation based on template-matching filters is proposed. The system employs an adaptive strategy for the generation of space-variant filters which take into account several versions of the target and local statistical properties of the input scene. Moreover, the proposed method considers the geometric modifications of the target while is moving through a video sequence. The detection accuracy of the matched filter brings the location of the target of interest. The estimated location coordinates are used to compute the support area covered by the target using watershed segmentation technique. In each frame, the filter adapts according the geometrical changes of the target in order to estimate its current support region. Experimental tests carried out in a video sequence show that the proposed system yields a very good performance for accuracy detection, and object segmentation efficiency in real-life scenes.

Paper Details

Date Published: 24 August 2017
PDF: 8 pages
Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 103950L (24 August 2017); doi: 10.1117/12.2273563
Show Author Affiliations
Kenia Picos, CETYS Univ. (Mexico)
Adán Hirales-Carbajal, CETYS Univ. (Mexico)
Victor H. Díaz-Ramírez, Instituto Politécnico Nacional - CITEDI (Mexico)


Published in SPIE Proceedings Vol. 10395:
Optics and Photonics for Information Processing XI
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Víctor H. Diaz-Ramirez, Editor(s)

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