@inproceedings{29d1618d1d2d4be4a99b2a05eb5bf8f3,
title = "A biologically inspired system for the detection of partially occluded objects",
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.",
author = "Amiram Moshaiov and Igal Kroiter",
year = "2004",
language = "אנגלית",
isbn = "0780385888",
series = "ICCC 2004 - Second IEEE International Conference on Computational Cybernetics, Proceedings",
pages = "459--463",
editor = "W. Elmenreich and W. Haidinger and J.A.T. Machado",
booktitle = "ICCC 2004 - Second IEEE International Conference on Computational Cybernetics, Proceedings",
note = "ICCC 2004 - Second IEEE International Conference on Computational Cybernetics ; Conference date: 30-08-2004 Through 01-09-2004",
}