Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An online solution for video stabilization in wide-area surveillance is crucial. Unfortunately, most online methods either suffer from the error accumulation problem (drift) or produce a non-smooth camera path (jitter).  present an online approach that mitigates these drawbacks as follows. First, it detects features from video frames. Then, descriptors are extracted around the detected features to match features beten frames. For motion estimation beten frames, the similarity transformation is estimated. Finally, motion smoothing or compensation is performed in a recursive way that is immune to error accumulation. Our experimental results on Wide Area Motion Imagery (WAMI) show that our approach produces a smooth camera path and is robust against error accumulation. Moreover, our results are comparable to those of state-of-the-art offline methods.
['Ahmed Abdelli']
I am writing a research paper on a idea Recursive motion smoothing for online video stabilization in wide-area surveillance
[{"from": "human", "value": "I am writing a research paper on a idea Recursive motion smoothing for online video stabilization in wide-area surveillance"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An online solution for video stabilization in wide-area surveillance is crucial. Unfortunately, most online methods either suffer from the error accumulation problem (drift) or produce a non-smooth camera path (jitter).  present an online approach that mitigates these drawbacks as follows. First, it detects features from video frames. Then, descriptors are extracted around the detected features to match features beten frames. For motion estimation beten frames, the similarity transformation is estimated. Finally, motion smoothing or compensation is performed in a recursive way that is immune to error accumulation. Our experimental results on Wide Area Motion Imagery (WAMI) show that our approach produces a smooth camera path and is robust against error accumulation. Moreover, our results are comparable to those of state-of-the-art offline methods."}]