PRISMATICA: Toward Ambient Intelligence in Public Transport Environments

Abstract

Abstract-On-line surveillance to improve safety and security is a major requirement for the management of public transport networks and other public places. The surveillance task is a complex one involving people, management procedures, and technology. This paper describes an architecture that takes into account the distributed nature of the detection processes and the need to allow for different types of devices and actuators. This was part of a major European initiative on intelligent transport systems. Because of the dominant nature of closed circuit television in surveillance, this paper describes in detail a computer-vision module used in the system and its particular ability to detect situations of interest in busy conditions. The system components have been implemented, integrated, and tested in real metropolitan railway environments and are considered to be the first step toward providing ambient intelligence in such complex scenarios. Results are presented that not only deal with detection performance, but also on the perception of people who used the system on its effectiveness and potential impact.

Characterisation of optical flow anomalies in pedestrian traffic

“…2 illustrates the optical calculation process. The combination of flow information with the background mask allows the analysis modules to only consider flow vectors inside foreground objects, which helps to reduce the noise in the observations, similar to the work described in Velastin et al (12).…”

Ambient intelligence: Technologies, applications, and opportunities

“…Similarly, the PRISMATICA project [164] uses cameras to monitor public transportation locations. By detecting situations such as overcrowding, the presence of people or objects that are not moving, motion in a forbidden direction, and intrusion, the environment and officials can respond quickly to ensure the safety of individuals using public transportation.…”

Context-based scene recognition from visual data in smart homes: an Information Fusion approach

“…Some of the main problems that appear in this kind of systems are tackled: event representation, spatial reasoning, uncertainty management, etc. Previously, other approaches-such as PRISMATICA [20]-had also studied the problems that appear in surveillance-related AmI applications, though they are more focused in the management of the VSN, instead of the possible contributions of this technology to AmI.…”