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Appearance-Based Person Recognition for Surveillance Applications
Citation key 0987Goldmann2006
Author Lutz Goldmann and Mustafa Karaman and J. T. Saez Minquez and Thomas Sikora
Title of Book 7th International Workshop on Image Analysis for Multimadia Interactive Services (WIAMIS 2006)
Year 2006
Address Incheon, Korea
Month apr
Abstract This paper presents an original system for recognizing persons based on their appearance. Thus, it is especially suitable to surveillance scenarios, where biometric information might not be available. Different visual low level features in combination with different supervised learning methods are examined in order to built a robust system. Furthermore, complementary features are fused using postmapping fusion concepts to improve the reliability. The experiments show that the system is able to distinguish a large number of people and can be used for different applications.
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