A biologically inspired system for the detection of partially occluded objects

Amiram Moshaiov, Igal Kroiter

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

Abstract

This paper briefly describes the recent development of a robotic vision system, which is based in part on biologically inspired elements and in particular on a saccading space-variant pseudo-sensor. The current system was developed for the detection of Partially Occluded Objects (POOs) in indoors' environments. It is based on a mixed color-shape local featuring approach. The sensed features are filtered and organized in unique star-like graphs termed Local Panorama Features (LPFs). In addition to the system brief description a duality between POOs' detection and object discrimination is used to strengthen the philosophy that quality comes before quantity in evaluating the detection of POOs by LPFs.

Original languageEnglish
Title of host publicationICCC 2004 - Second IEEE International Conference on Computational Cybernetics, Proceedings
EditorsW. Elmenreich, W. Haidinger, J.A.T. Machado
Pages459-463
Number of pages5
StatePublished - 2004
EventICCC 2004 - Second IEEE International Conference on Computational Cybernetics - Vienna, Austria
Duration: 30 Aug 20041 Sep 2004

Publication series

NameICCC 2004 - Second IEEE International Conference on Computational Cybernetics, Proceedings

Conference

ConferenceICCC 2004 - Second IEEE International Conference on Computational Cybernetics
Country/TerritoryAustria
CityVienna
Period30/08/041/09/04

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