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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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.
|Title:||Traffic Observation and Situation Assessment|
|Journal or Publication Title:||Lecture Notes in Computer Sciences|
|In Open Access:||Yes|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 419-441|
|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)|
|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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