Gaussian propagation model based dense optical flow for objects tracking
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
A novel evidence based model for detecting dangerous situations in level crossing environments
Expert Systems with Applications: An International Journal
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In this paper we evaluate and compare six well-known foreground from background subtraction methods against a standard database. To be able to compare these algorithms objectively, we have chosen three challengeable scenarios from this database. The algorithms were applied to image sequences of length 100 to 800 frames. We examined the results thoroughly and supported the experimental results with a careful analytical study. We concluded that each algorithm might perform satisfactory in dealing with some particular challenges. That is, for example where we encounter background changes, illumination changes and flickering screens. This evaluation study assists the reader to be able to choose the most appropriate algorithm (among the six) for any particular situation.