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Traffic Observation and Situation Assessment

Reulke, Ralf and Rueß, Dominik and Manthey, Kristian and Luber, Andreas (2012) Traffic Observation and Situation Assessment. Lecture Notes in Computer Sciences, 7474, pp. 419-441. DOI: 10.1007/978-3-642-34091-8_19.

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Abstract

Utilization of camera systems for surveillance tasks (e. g. traffic monitoring) has become a standard procedure and has been in use for over 20 years. However, most of the cameras are operated locally and data analyzed manually. Locally means here a limited field of view and that the image sequences are processed independently from other cameras. For the enlargement of the observation area and to avoid occlusions and non-accessible areas multiple camera systems with overlapping and non-overlapping cameras are used. The joint processing of image sequences of a multi-camera system is a scientific and technical challenge. The processing is divided traditionally into camera calibration, object detection, tracking and interpretation. The fusion of information from different cameras is carried out in the world coordinate system. To reduce the network load, a distributed processing concept can be implemented. Object detection and tracking are fundamental image processing tasks for scene evaluation. Situation assessments are based mainly on characteristic local movement patterns (e.g. directions and speed), from which trajectories are derived. It is possible to recognize atypical movement patterns of each detected object by comparing local properties of the trajectories. Interaction of different objects can also be predicted with an additional classification algorithm. This presentation discusses trajectory based recognition algorithms for atypical event detection in multi object scenes to obtain area based types of information (e.g. maps of speed patterns, trajectory curvatures or erratic movements) and shows that two-dimensional areal data analysis of moving objects with multiple cameras offers new possibilities for situational analysis.

Document Type:Article
Title:Traffic Observation and Situation Assessment
Authors:
AuthorsInstitution or Email of Authors
Reulke, Ralfralf.reulke@dlr.de
Rueß, Dominikdominik.ruess@dlr.de
Manthey, Kristiankristian.manthey@dlr.de
Luber, Andreasandreas.luber@dlr.de
Date:2012
Journal or Publication Title:Lecture Notes in Computer Sciences
Refereed publication:Yes
In Open Access:Yes
In ISI Web of Science:Yes
Volume:7474
DOI:10.1007/978-3-642-34091-8_19
Page Range:pp. 419-441
Status:Published
Keywords:Traffic observation, multi-camera system, cooperative distributed vision, multi-camera orientation, multi-target tracking, situation assessment
HGF - Research field:Aeronautics, Space and Transport, Aeronautics, Space and Transport, Aeronautics, Space and Transport, Aeronautics, Space and Transport
HGF - Program:Space, Space, Transport, Space
HGF - Program Themes:Earth Observation, Earth Observation, Traffic Management, Earth Observation
DLR - Research area:Raumfahrt, Raumfahrt, Transport, Raumfahrt
DLR - Program:R EO - Erdbeobachtung, R EO - Erdbeobachtung, V VM - Verkehrsmanagement, R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Optische Systeme (old), R - Vorhaben Optische Sensortechnologien (old), V - Verkehrs- und Mobilitätsmanagement (old), R - Vorhaben Optische Informationssysteme (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Verkehrslageerfassung
Optical Information Systems
Deposited By: Ute Dombrowski
Deposited On:08 Oct 2012 07:11
Last Modified:08 Oct 2012 07:11

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