Adaptive Background Estimation and Foreground Detection using Kalman-Filtering

@inproceedings{Ridder1995AdaptiveBE,
  title={Adaptive Background Estimation and Foreground Detection using Kalman-Filtering},
  author={Christof Ridder and Olaf Munkelt and Harald Kirchner},
  year={1995}
}
In image sequence processing kalman filtering is used for an adaptive background estimation, in order to separate the foreground from the background. The presented work is an approach which takes into account that changing illumination should be considered in the background estimation, and should not be detected as foreground. The new approach assumes a stationary CCD cameras with fixed focal length and considers non-rigid objects moving non-continuously like human bodies. Furthermore… CONTINUE READING
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