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Video surveillance systems are commonly used by security personnel to monitor and record activity in buildings, public gatherings, busy roads, and parking lots. These systems allow many cameras to be observed by a small number of trained human operators but suffer from potential operator fatigue and lack of attention due to the large amount of information provided by cameras which can distract the...
In recent years, many studies have focused on intelligent video surveillance system, including camera calibration, foreground region detection, moving object detection, moving object tracking and path modeling. This study used the data of the moving trajectory of a moving object as the path modeling data. However, the data may contain incorrect trajectory data, such as wrong foreground region detection...
This article introduces a new particle filtering approach for object tracking in video sequences. The projective particle filter uses a linear fractional transformation, which projects the trajectory of an object from the real world onto the camera plane, thus providing a better estimate of the object position. In the proposed particle filter, samples are drawn from an importance density integrating...
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