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A Probabilistic Background Model for Tracking
2000A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. This model functions as a low level process for a car tracker. A particle filter is employed as a stochastic filter for the car tracker. The use of a particle filter allows the
Jens Rittscher +3 more
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Extracting a background image by a multi-modal scene background model
2016 23rd International Conference on Pattern Recognition (ICPR), 2016In scene analysis, the availability of an initial background model that describes the scene without foreground objects is at the basis of many computer vision applications. Multi-modal models of the scene background are frequently adopted in the applications, where each mode tries to keep track of the multiple background modes observed along the ...
Maddalena, Lucia, PETROSINO, Alfredo
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Background to the Methods, Models and Scenarios
1988In order to characterize the range of severity of moisture conditions in the Stavropol region, a classification of drought has been devised that relates specifically to winter wheat, the most important crop in the area.
Parry, M.L., Carter, T.R., Konijn, N.T.
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Pixel-to-Model background modeling in crowded scenes
2014 IEEE International Conference on Multimedia and Expo (ICME), 2014Background modeling is an important step for many video surveillance applications such as object detection and scene understanding. In this paper, we present a novel Pixel-to-Model (P2M) paradigm for background modeling in crowded scenes. In particular, the proposed method models the background with a set of context features for each pixel, which are ...
Lu Yang 0002 +3 more
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Background Modeling in Video Sequences
2014The background modeling is the very first and essential part of every computer assisted surveillance system. Without it there would be no reliable way for fast and robust detection of moving objects in video sequences. In this paper we collect, describe and compare the main features of the most commonly used techniques of background modeling in video ...
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SPIE Proceedings, 2007
An adaptive background model aiming at outdoor vehicle detection is presented in this paper. This model is an improved model of PICA (pixel intensity classification algorithm), it classifies pixels into K-distributions by color similarity, and then a hypothesis that the background pixel color appears in image sequence with a high frequency is used to
Xiaochun Lu +3 more
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An adaptive background model aiming at outdoor vehicle detection is presented in this paper. This model is an improved model of PICA (pixel intensity classification algorithm), it classifies pixels into K-distributions by color similarity, and then a hypothesis that the background pixel color appears in image sequence with a high frequency is used to
Xiaochun Lu +3 more
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Background Modeling by Weightless Neural Networks
2015Background initialization is the task of computing a background model by processing a set of preliminary frames in a video scene. The initial background estimation serves as bootstrap model for video segmentation of foreground objects, although the background estimation could be refined and updated in steady state operation of video processing systems.
Massimo De Gregorio, Maurizio Giordano
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Background of Pharmacologic Modeling
2013The pharmaceutical industry, which emerged during the second half of the nineteenth century, operates nowadays in a sensitive environment. Providing patients with differentiated medicines that can be afforded by health care systems is proving more and more difficult.
Ronald Gieschke, Daniel Serafin
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Foreground and Background in Mental Models
Journal of Cognitive Neuroscience, 2022openaire +2 more sources