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2009
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Comparative Evaluation of Stationary Foreground Object Detection Algorithms Based on Background Subtraction Techniques

9 years 11 months ago
Comparative Evaluation of Stationary Foreground Object Detection Algorithms Based on Background Subtraction Techniques
In several video surveillance applications, such as the detection of abandoned/stolen objects or parked vehicles, the detection of stationary foreground objects is a critical task. In the literature, many algorithms have been proposed that deal with the detection of stationary foreground objects, the majority of them based on background subtraction techniques. In this paper we discuss various stationary object detection approaches comparing them in typical surveillance scenarios (extracted from standard datasets). Firstly, the existing approaches based on background-subtraction are organized into categories. Then, a representative technique of each category is selected and described. Finally, a comparative evaluation using objective and subjective criteria is performed on video surveillance sequences selected from the PETS 2006 and i-LIDS for AVSS 2007 datasets, analyzing the advantages and drawbacks of each selected approach.
Álvaro Bayona, Juan Carlos San Miguel, Jos&
Added 09 Jul 2010
Updated 09 Jul 2010
Type Conference
Year 2009
Where AVSS
Authors Álvaro Bayona, Juan Carlos San Miguel, José María Martínez Sanchez
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