Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose an approach based on active contours to discriminate previously detected static foreground regions beten abandoned and stolen. Firstly, the static foreground object contour is extracted. Then, an active contour adjustment is performed on the current and the background frames. Finally, similarities beten the initial contour and the two adjustments are studied to decide whether the object is abandoned or stolen. Three different methods have been tested for this adjustment. Experimental results over a heterogeneous dataset show that the proposed method outperforms state-of-art approaches and provides a robust solution against non-accurate data (i.e., foreground static objects wrongly segmented) that is common in complex scenarios.
['Luis Alberto Caro Campos', 'Juan Carlos Sanmiguel', 'José M. Martínez']
I am writing a research paper on a idea Discrimination of abandoned and stolen object based on active contours
[{"from": "human", "value": "I am writing a research paper on a idea Discrimination of abandoned and stolen object based on active contours"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose an approach based on active contours to discriminate previously detected static foreground regions beten abandoned and stolen. Firstly, the static foreground object contour is extracted. Then, an active contour adjustment is performed on the current and the background frames. Finally, similarities beten the initial contour and the two adjustments are studied to decide whether the object is abandoned or stolen. Three different methods have been tested for this adjustment. Experimental results over a heterogeneous dataset show that the proposed method outperforms state-of-art approaches and provides a robust solution against non-accurate data (i.e., foreground static objects wrongly segmented) that is common in complex scenarios."}]