Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper presents a set of methods for multi view image tracking using a set of calibrated cameras.  demonstrate how effective the approach is for resolving occlusions and tracking objects beten overlapping and non-overlapping camera views. Moving objects are initially detected using background subtraction. Temporal alignment is then performed beten each video sequence in order to compensate for the different processing rates of each camera. A Kalman filter is used to track each object in 3D world coordinates and 2D image coordinates. Information is shared beten the 2D/3D trackers of each camera view in order to improve the performance of object tracking and trajectory prediction. The system is shown to be robust in resolving dynamic and static object occlusions. Results are presented from a variety of outdoor surveillance video sequences.
['James Black', 'Tim Ellis', 'Paul L. Rosin']
I am writing a research paper on a idea Multi view image surveillance and tracking
[{"from": "human", "value": "I am writing a research paper on a idea Multi view image surveillance and tracking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper presents a set of methods for multi view image tracking using a set of calibrated cameras.  demonstrate how effective the approach is for resolving occlusions and tracking objects beten overlapping and non-overlapping camera views. Moving objects are initially detected using background subtraction. Temporal alignment is then performed beten each video sequence in order to compensate for the different processing rates of each camera. A Kalman filter is used to track each object in 3D world coordinates and 2D image coordinates. Information is shared beten the 2D/3D trackers of each camera view in order to improve the performance of object tracking and trajectory prediction. The system is shown to be robust in resolving dynamic and static object occlusions. Results are presented from a variety of outdoor surveillance video sequences."}]