Facenet: Tracking People and Acquiring Canonical Face Images in a Wireless Camera Sensor Network

Autor:	Kyle Heath, Leonidas J. Guibas
Rok vydání:	2007
Předmět:	Camera network business.industry Computer science Visual sensor network Wireless camera sensor networks Computer vision Artificial intelligence Invariant (mathematics) business Facial recognition system Wireless sensor network Identity management Wireless camera
Zdroj:	ICDSC
DOI:	10.1109/icdsc.2007.4357514
Popis:	We describe a method for tracking people in 2D world coordinates and acquiring canonical frontal face images that fits the sensor network paradigm. Frontal face images are particularly desireable features for tracking and identity management because they are largely invariant to day-to-day changes in appearance. This approach has been implemented and evaluated on a prototype wired camera network called FaceNet. Our primary contribution is to show how sensing the trajectories of moving objects can be exploited to acquire high quality canonical views while conserving node energy. We present an evaluation of the approach and demonstrate the tasking algorithm in action on data acquired from the FaceNet camera network.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::212a2ff51c1dc151ab9eb622034e161c https://doi.org/10.1109/icdsc.2007.4357514 Zobrazit plný text záznamu