A Binocular Sensor Interface for Moving Objects Detection (Contributo in atti di convegno)

Type
Label
  • A Binocular Sensor Interface for Moving Objects Detection (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • G. Costantini; D. Casali; R. Perfetti; M. Carota (2007)
    A Binocular Sensor Interface for Moving Objects Detection
    in 2nd IEEE International Workshop on Advances in Sensors and Interfaces, Bari
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • G. Costantini; D. Casali; R. Perfetti; M. Carota (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • G. Costantini1,2, D. Casali1, R. Perfetti3, M. Carota1 1Department of Electronics Engineering, University of Rome \"Tor Vergata\" via del Politecnico, 1 - 00133 Roma - Italy. 2 Istituto di Acustica \"O. M. Corbino\" via del Fosso del Cavaliere, 100 - 00133 Roma -Italy 3Department of Electronics and Information Engineering, University of Perugia via G. Duranti, 93 - 06125 Perugia - Italy. (literal)
Titolo
  • A Binocular Sensor Interface for Moving Objects Detection (literal)
Abstract
  • In this paper we propose a sensor interface that is able to detect moving objects, returning the number of found objects, together with their position, shape, and approximate distance. The system is based on two cameras, which are supposed to be fixed, a digital processor, and two analog chips, which perform data analysis. The use of a couple of cameras improves the performance in comparison with systems with only one camera, because it can exploit the availability of two images from two different point of view in order to get information on the distance of the objects from the two cameras, in the same way as the human eye does with its so called \"binocular vision\". We tested our method over several video sequences, both indoor and outdoor. Experimental results show a significantly improved discrimination when multiple objects are moving at different distances. Moreover, the use of stereo images can be exploited to reduce noise, improving performances for clustering. (literal)
Prodotto di
Autore CNR

Incoming links:


Prodotto
Autore CNR di
data.CNR.it