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Traffic Observation and Situation Assessment

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

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Kurzfassung

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.

Dokumentart:Zeitschriftenbeitrag
Titel:Traffic Observation and Situation Assessment
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Reulke, Ralfralf.reulke@dlr.de
Rueß, Dominikdominik.ruess@dlr.de
Manthey, Kristiankristian.manthey@dlr.de
Luber, Andreasandreas.luber@dlr.de
Datum:2012
Erschienen in:Lecture Notes in Computer Sciences
Referierte Publikation:Ja
In Open Access:Ja
In ISI Web of Science:Ja
Band:7474
DOI :10.1007/978-3-642-34091-8_19
Seitenbereich:Seiten 419-441
Status:veröffentlicht
Stichwörter:Traffic observation, multi-camera system, cooperative distributed vision, multi-camera orientation, multi-target tracking, situation assessment
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr, Luftfahrt, Raumfahrt und Verkehr, Luftfahrt, Raumfahrt und Verkehr, Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt, Raumfahrt, Verkehr, Raumfahrt
HGF - Programmthema:Erdbeobachtung, Erdbeobachtung, Verkehrsmanagement, Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt, Raumfahrt, Verkehr, Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung, R EO - Erdbeobachtung, V VM - Verkehrsmanagement, R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Optische Systeme (alt), R - Vorhaben Optische Sensortechnologien (alt), V - Verkehrs- und Mobilitätsmanagement (alt), R - Vorhaben Optische Informationssysteme (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Verkehrslageerfassung
Optische Informationssysteme
Hinterlegt von: Ute Dombrowski
Hinterlegt am:08 Okt 2012 07:11
Letzte Änderung:08 Okt 2012 07:11

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