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2008
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Motion detection with false discovery rate control

10 years 1 days ago
Motion detection with false discovery rate control
Visual surveillance applications such as object identification, object tracking, and anomaly detection require reliable motion detection as an initial processing step. Such a detection is often accomplished by means of background subtraction which can be as simple as thresholding of intensity difference between movement-free background and current frame. However, more effective background subtraction methods employ probabilistic modeling of the background followed by probability thresholding. In this case, the balance between false positives and false negatives (misses) is controlled by a threshold that needs to be adjusted heuristically depending on object sparsity. In this paper, we propose a different detection method that is based on false discovery rate control, a multiple-comparison procedure that applies thresholding in significance-score rather than probability space. The proposed approach allows explicit control of false positives and automatically adapts to object sparsity. ...
David A. Castañon, J. Mike McHugh, Janusz K
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors David A. Castañon, J. Mike McHugh, Janusz Konrad, Pierre-Marc Jodoin, Venkatesh Saligrama
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