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» Tracking and Object Classification for Automated Surveillanc...
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ICPR
2004
IEEE
14 years 5 months ago
Probabilistic Classification Between Foreground Objects and Background
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
AUSAI
2005
Springer
13 years 10 months ago
Automated Scene Understanding for Airport Aprons
Abstract. This paper presents a complete visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules — Scene Tracking a...
James M. Ferryman, Mark Borg, David Thirde, Floren...
TSMC
2010
12 years 11 months ago
Can You See Me Now? Sensor Positioning for Automated and Persistent Surveillance
Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV...
Yi Yao, Chung-Hao Chen, Besma R. Abidi, David L. P...
ICPR
2008
IEEE
14 years 6 months ago
People and luggage recognition in airport surveillance under real-time constraints
This paper describes an approach to classify people, groups of people and luggage in the halls of an airport. The algorithm is included into a surveillance system which tracks and...
Vicente Luis Atienza Vanacloig, Juan Alfonso Rosel...
ICIP
2002
IEEE
14 years 6 months ago
Likelihood-based object detection and object tracking using color histograms and EM
The topic of this paper is the integration of Expectation Maximization (EM) background modeling and template matching using color histograms as templates to improve person trackin...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...