IEEE Trans Image Process - Accurate moving cast shadow suppression based on local color constancy detection.

Tópicos

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Resumo

This paper describes a novel framework for detection and suppression of properly shadowed regions for most possible scenarios occurring in real video sequences. Our approach requires no prior knowledge about the scene, nor is it restricted to specific scene structures. Furthermore, the technique can detect both achromatic and chromatic shadows even in the presence of camouflage that occurs when foreground regions are very similar in color to shadowed regions. The method exploits local color constancy properties due to reflectance suppression over shadowed regions. To detect shadowed regions in a scene, the values of the background image are divided by values of the current frame in the RGB color space. We show how this luminance ratio can be used to identify segments with low gradient constancy, which in turn distinguish shadows from foreground. Experimental results on a collection of publicly available datasets illustrate the superior performance of our method compared with the most sophisticated, state-of-the-art shadow detection algorithms. These results show that our approach is robust and accurate over a broad range of shadow types and challenging video conditions.

Resumo Limpo

paper describ novel framework detect suppress proper shadow region possibl scenario occur real video sequenc approach requir prior knowledg scene restrict specif scene structur furthermor techniqu can detect achromat chromat shadow even presenc camouflag occur foreground region similar color shadow region method exploit local color constanc properti due reflect suppress shadow region detect shadow region scene valu background imag divid valu current frame rgb color space show lumin ratio can use identifi segment low gradient constanc turn distinguish shadow foreground experiment result collect public avail dataset illustr superior perform method compar sophist stateoftheart shadow detect algorithm result show approach robust accur broad rang shadow type challeng video condit

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