Adaptive Probabilistic Tracking Embedded in Smart Cameras for Distributed Surveillance in a 3D Model. (19th December 2006)

• Record Type: Journal Article
• Authors: Fleck, Sven; Busch, Florian; Straßer, Wolfgang
• Other Names: Ben-Ezra Moshe Academic Editor.
• Is Part Of: EURASIP journal on embedded systems. Volume 2007(2007)
• Publication Date: 2006-12-19
• Subjects: Embedded computer systems -- Periodicals; Systèmes enfouis (Informatique); Embedded computer systems; Periodicals; Electronic journals; 006.22
• DOI: 10.1155/2007/29858
• Languages: English
• ISSNs: 1687-3955

Abstract

Abstract : Tracking applications based on distributed and embedded sensor networks are emerging today, both in the fields of surveillance and industrial vision. Traditional centralized approaches have several drawbacks, due to limited communication bandwidth, computational requirements, and thus limited spatial camera resolution and frame rate. In this article, we present network-enabled smart cameras for probabilistic tracking. They are capable of tracking objects adaptively in real time and offer a very bandwidthconservative approach, as the whole computation is performed embedded in each smart camera and only the tracking results are transmitted, which are on a higher level of abstraction. Based on this, we present a distributed surveillance system. The smart cameras' tracking results are embedded in an integrated 3D environment as live textures and can be viewed from arbitrary perspectives. Also a georeferenced live visualization embedded in Google Earth is presented.