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AVSS
2007
IEEE

Detection of temporarily static regions by processing video at different frame rates

14 years 6 months ago
Detection of temporarily static regions by processing video at different frame rates
This paper presents an abandoned item and illegally parked vehicle detection method for single static camera video surveillance applications. By processing the input video at different frame rates, two backgrounds are constructed; one for short-term and another for long-term. Each of these backgrounds is defined as a mixture of Gaussian models, which are adapted using online Bayesian update. Two binary foreground maps are estimated by comparing the current frame with the backgrounds, and motion statics are aggregated in a likelihood image by applying a set of heuristics to the foreground maps. Likelihood image is then used to differentiate between the pixels that belong to moving objects, temporarily static regions and scene background. Depending on the application, the temporary static regions indicate abandoned items, illegally parked vehicles, objects removed from the scene, etc. The presented pixel-wise method does not require object tracking, thus its performance is not upper-bo...
Fatih Porikli
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where AVSS
Authors Fatih Porikli
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