Visual Tracking by a Multisensorial Approach

Autor:	J. Gallice, Laurent Trassoudaine, F. Collange, J. Alizon
Rok vydání:	1993
Předmět:	Engineering business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Filter (signal processing) Visual servoing Tracking (particle physics) Laser law.invention law Obstacle Obstacle avoidance Eye tracking Computer vision Artificial intelligence business
Zdroj:	IFAC Proceedings Volumes. 26:113-118
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)49285-8
Popis:	The problem of road obstacle detection and tracking is addressed. The multisensorial approach is based on the use of a mixed camera/3D-sensor. The 3D-sensor is a laser range finder equiped with two mirrors to control the laser beam direction. The multisensor is endowed with two faculties which make it a smart active sensor. They are the controlled perception and the visual servoing which allow a close collaboration between the 3D-world and the intensity world. Obstacle detection is deduced from 3D-image analysis. Tracking combines intensity image processing and visual servoing. Obstacle dynamical state is obtained by a Kalrnan filter.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9f1868524ecb5d09b62a09527606ab2e https://doi.org/10.1016/s1474-6670(17)49285-8 Zobrazit plný text záznamu