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MSF: Multi-Level Spatiotemporal Filtering for Event Denoising via Motion Estimation. [PDF]
Sensors (Basel)Wang J, Yu K, Xu X, Shan N.
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An Intelligent Temperature Compensation Method for Pressure Sensors Under High-Temperature and High-Pressure Conditions Based on a Modified Slime Mold Algorithm. [PDF]
Micromachines (Basel)Zhao Y +6 more
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Tracing the origin of tropical North Atlantic <i>Sargassum</i> blooms to West Africa. [PDF]
PNAS NexusBeron-Vera FJ +3 more
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Scene background initialization: A taxonomy
Pattern Recognition Letters, 2017The availability of an initial background model that describes the scene without foreground objects is the prerequisite for a wide range of applications, ranging from video surveillance to computational photography. Limited attention to the problem is given in the literature on background modeling, that mainly regards model representation and updating.
Lucia Maddalena +2 more
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Background Initialization in Cluttered Sequences
2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006In this paper we propose a technique to robustly estimate the background in a cluttered sequence, i.e., a sequence where occluding objects persist in the same position for a considerable portion of time. As pixel-level heuristic are not sufficient in this case, we introduce spatial support. First the sequence is subdivided in patches that are clustered
Andrea Colombari +2 more
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CNN-based initial background estimation
2016 23rd International Conference on Pattern Recognition (ICPR), 2016Despite being an essential prerequisite at the basis of many applications ranging from surveillance to computational photography, the problem of initial background estimation seems to be marginally investigated. In this paper, we present a reliable CNN-based solution to estimate the initial background (BG) of a scene, given not necessarily a whole ...
Ibrahim Halfaoui +2 more
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Exemplar-based background model initialization
Proceedings of the third ACM international workshop on Video surveillance & sensor networks, 2005Most of the automated video-surveillance applications are based on background (BG) subtraction techniques, that aim at distinguishing moving objects in a static scene. These strategies strongly depend on the BG model, that has to be initialized and updated. A good initialization is crucial for the successive processing.
COLOMBARI, ANDREA +3 more
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A probabilistic SVM approach for background scene initialization
Proceedings. International Conference on Image Processing, 2003Visual tracking systems using background subtraction have been very popular largely due to their efficiency in extracting moving objects. However, such systems often compute the reference background by assuming no moving objects are present during the initialization stage, though the assumption may not be realistic.
Horng-Horng Lin +2 more
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A background model initialization algorithm for video surveillance
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a new algorithm for the purpose of background model initialization. The algorithm takes as input a video sequence in which moving objects are present, and outputs a statistical ...
Daniel Gutchess +4 more
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