Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  address the problem of dynamic object segmentation in office environments.  make no prior assumptions on what is dynamic and static, and our reasoning is based on change detection beten sparse and non-uniform observations of the scene.  model the static part of the environment, and  focus on improving the accuracy and quality of the segmented dynamic objects over long periods of time.  address the issue of adapting the static structure over time and incorporating new elements, for which  train and use a classifier whose output gives an indication of the dynamic nature of the segmented elements.  show that the proposed algorithms improve the accuracy and the rate of detection of dynamic objects by comparing with a labelled dataset.
['Rares Ambrus', 'John Folkesson', 'Patric Jensfelt']
I am writing a research paper on a idea Unsupervised object segmentation through change detection in a long term autonomy scenario
[{"from": "human", "value": "I am writing a research paper on a idea Unsupervised object segmentation through change detection in a long term autonomy scenario"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  address the problem of dynamic object segmentation in office environments.  make no prior assumptions on what is dynamic and static, and our reasoning is based on change detection beten sparse and non-uniform observations of the scene.  model the static part of the environment, and  focus on improving the accuracy and quality of the segmented dynamic objects over long periods of time.  address the issue of adapting the static structure over time and incorporating new elements, for which  train and use a classifier whose output gives an indication of the dynamic nature of the segmented elements.  show that the proposed algorithms improve the accuracy and the rate of detection of dynamic objects by comparing with a labelled dataset."}]