Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently several methods for background subtraction from moving camera re proposed. They use bottom up cues to segment video frames into foreground and background regions. Due to this lack of explicit models, they can easily fail to detect a foreground object when such cues are ambiguous in certain parts of the video. This becomes even more challenging when videos need to be processed online.  present a method which enables learning of pixel based models for foreground and background regions and, in addition, segments each frame in an online framework. The method uses long term trajectories along with a Bayesian filtering framework to estimate motion and appearance models.  compare our method to previous approaches and show results on challenging video sequences.
['Ali Elqursh', 'Ahmed M. Elgammal']
I am writing a research paper on a idea Online moving camera background subtraction
[{"from": "human", "value": "I am writing a research paper on a idea Online moving camera background subtraction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently several methods for background subtraction from moving camera re proposed. They use bottom up cues to segment video frames into foreground and background regions. Due to this lack of explicit models, they can easily fail to detect a foreground object when such cues are ambiguous in certain parts of the video. This becomes even more challenging when videos need to be processed online.  present a method which enables learning of pixel based models for foreground and background regions and, in addition, segments each frame in an online framework. The method uses long term trajectories along with a Bayesian filtering framework to estimate motion and appearance models.  compare our method to previous approaches and show results on challenging video sequences."}]