Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a novel algorithm to detect and remove cast shadows in a video sequence by taking advantage of the statistical prevalence of the shadod regions over the object regions.  model shadows using multivariate Gaussians.  apply a ak classifier as a pre-filter.  project shadow models into a quantized color space to update a shadow flow function.  use shadow flow, background models, and current frame to determine the shadow and object regions. This method has several advantages: It does not require a color space transformation.  pose the problem in the RGB color space, and  can carry out the same analysis in other Cartesian spaces as ll. It is data-driven and adapts to the changing shadow conditions. In other words, accuracy of our method is not limited by the preset values. Furthermore, it does not assume any 3D models for the target objects or tracking of the cast shadows beten frames. Our results show that the detection performance is superior than the benchmark method.
['Fatih Porikli', 'Jay Thornton']
I am writing a research paper on a idea Shadow flow: a recursive method to learn moving cast shadows
[{"from": "human", "value": "I am writing a research paper on a idea Shadow flow: a recursive method to learn moving cast shadows"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a novel algorithm to detect and remove cast shadows in a video sequence by taking advantage of the statistical prevalence of the shadod regions over the object regions.  model shadows using multivariate Gaussians.  apply a ak classifier as a pre-filter.  project shadow models into a quantized color space to update a shadow flow function.  use shadow flow, background models, and current frame to determine the shadow and object regions. This method has several advantages: It does not require a color space transformation.  pose the problem in the RGB color space, and  can carry out the same analysis in other Cartesian spaces as ll. It is data-driven and adapts to the changing shadow conditions. In other words, accuracy of our method is not limited by the preset values. Furthermore, it does not assume any 3D models for the target objects or tracking of the cast shadows beten frames. Our results show that the detection performance is superior than the benchmark method."}]