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ICPR
2008
IEEE

People and luggage recognition in airport surveillance under real-time constraints

10 years 11 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 classifies objects and transmits this information to a higher computational level which fuses the information of several cameras covering overlapping areas. Two kind of features are used: foreground density features and features related to real-size of objects, obtained by applying a homographic model. A classification schema based on k-nn classifiers and a voting system makes the classification process highly robust. On-line and off-line experiments are introduced.
Vicente Luis Atienza Vanacloig, Juan Alfonso Rosel
Added 05 Nov 2009
Updated 05 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Vicente Luis Atienza Vanacloig, Juan Alfonso Rosell Ortega, Gabriela Andreu García, José Miguel Valiente González
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