IEEE Trans Image Process - ViBe: a universal background subtraction algorithm for video sequences.

Tópicos

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Resumo

This paper presents a technique for motion detection that incorporates several innovative mechanisms. For example, our proposed technique stores, for each pixel, a set of values taken in the past at the same location or in the neighborhood. It then compares this set to the current pixel value in order to determine whether that pixel belongs to the background, and adapts the model by choosing randomly which values to substitute from the background model. This approach differs from those based upon the classical belief that the oldest values should be replaced first. Finally, when the pixel is found to be part of the background, its value is propagated into the background model of a neighboring pixel. We describe our method in full details (including pseudo-code and the parameter values used) and compare it to other background subtraction techniques. Efficiency figures show that our method outperforms recent and proven state-of-the-art methods in terms of both computation speed and detection rate. We also analyze the performance of a downscaled version of our algorithm to the absolute minimum of one comparison and one byte of memory per pixel. It appears that even such a simplified version of our algorithm performs better than mainstream techniques.

Resumo Limpo

paper present techniqu motion detect incorpor sever innov mechan exampl propos techniqu store pixel set valu taken past locat neighborhood compar set current pixel valu order determin whether pixel belong background adapt model choos random valu substitut background model approach differ base upon classic belief oldest valu replac first final pixel found part background valu propag background model neighbor pixel describ method full detail includ pseudocod paramet valu use compar background subtract techniqu effici figur show method outperform recent proven stateoftheart method term comput speed detect rate also analyz perform downscal version algorithm absolut minimum one comparison one byte memori per pixel appear even simplifi version algorithm perform better mainstream techniqu

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