System and software architectures of distributed smart cameras

Abstract

In this article, we describe a distributed, peer-to-peer gesture recognition system along with a software architecture modeling technique and authority control protocol for ubiquitous cameras. This system performs gesture recognition in real time by combining imagery from multiple cameras without using a central server. We propose a system architecture that uses a network of inexpensive cameras to perform in-network video processing. A methodology for transforming well-designed single-node algorithm to distributed system is also proposed. Applications for ubiquitous cameras can be modeled as the composition of a finite-state machine of the system, functional services, and middleware. A service-oriented software architecture is proposed to dynamically reconfigure services when system state changes. By exchanging data and control messages between neighboring sensors, each node can maintain broader view of the environment with integrated video-processing results. Our prototype system is built on Windows machines, and uses standard video cameras as sensors and local network as a communication channel.

Adaptive background modeling in multicamera system for real-time object detection

“…New systems and architectures are required in order to efficiently manage the huge amount of data coming from different sensors: networks of smart cameras, 9 peer-to-peer network of computers or centralized architectures 10 are the most used solutions.…”

Scalable software architecture for on-line multi-camera video processing

“…A common way to tackle this problem is to develop multi-camera systems using smart cameras 6 . The main idea of the smart camera is to build a single node that encloses both acquisition and processing algorithms.…”