Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes an efficient method for detecting ghost and left objects in surveillance video, which, if not identified, may lead to errors or wasted computation in background modeling and object tracking in surveillance systems. This method contains two main steps: the first one is to detect stationary objects, which narrows down the evaluation targets to a very small number of foreground blobs; the second step is to discriminate the candidates beten ghost and left objects. For the first step,  introduce a novel stationary object detection method based on continuous object tracking and shape matching. For the second step,  propose a fast and robust inpainting method to differentiate beten ghost and left objects by constructing the real background using the candidate 's corresponding regions in the input and the background images. The effectiveness of our method has been validated by experiments over a variety of video sequences.
['Sijun Lu', 'Jian Zhang', 'David Feng']
I am writing a research paper on a idea An efficient method for detecting ghost and left objects in surveillance video
[{"from": "human", "value": "I am writing a research paper on a idea An efficient method for detecting ghost and left objects in surveillance video"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes an efficient method for detecting ghost and left objects in surveillance video, which, if not identified, may lead to errors or wasted computation in background modeling and object tracking in surveillance systems. This method contains two main steps: the first one is to detect stationary objects, which narrows down the evaluation targets to a very small number of foreground blobs; the second step is to discriminate the candidates beten ghost and left objects. For the first step,  introduce a novel stationary object detection method based on continuous object tracking and shape matching. For the second step,  propose a fast and robust inpainting method to differentiate beten ghost and left objects by constructing the real background using the candidate 's corresponding regions in the input and the background images. The effectiveness of our method has been validated by experiments over a variety of video sequences."}]