A Distributed Camera System for Multi-Resolution Surveillance

Nicola Bellotto*, Eric Sommerlade, Ben Benfold, Charles Bibby, Ian Reid, Daniel Roth, Carles Fernandez, Luc Van Gool, Jordi Gonzalez

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

We describe an architecture for a multi-camera, multi-resolution surveillance system. The aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual tracking algorithms, together with a central supervisor unit. Each camera (and possibly pan-tilt device) has a dedicated process and processor. Asynchronous interprocess communications and archiving of data are achieved in a simple and effective way via a central repository, implemented using an SQL database.

Visual tracking data from static views are stored dynamically into tables in the database via client calls to the SQL server. A supervisor process running on the SQL server determines if active zoom cameras should be dispatched to observe a particular target, and this message is effected via writing demands into another database table.

We show results from a real implementation of the system comprising one static camera overviewing the environment under consideration and a PTZ camera operating under closed-loop velocity control, which uses a fast and robust level-set-based region tracker. Experiments demonstrate the effectiveness of our approach and its feasibility to multi-camera systems for intelligent surveillance.

Original languageEnglish
Pages (from-to)60-+
Number of pages3
JournalDistributed Smart Cameras ICDSC
Publication statusPublished - 2009

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