Proceedings of 3rd IEEE International Conference on Image Processing
DOI: 10.1109/icip.1996.559548
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Comparison of background extraction based intrusion detection algorithms

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Cited by 40 publications
(24 citation statements)
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“…Change-based segmentation techniques extract moving objects by comparing successive frames or comparing frames with a background model [6], [7]. For video contents from a fixed camera with a static background, change-based segmentation methods are very efficient since their efforts are spent on the changed parts of frames only.…”
Section: Figure 1 Block Diagram Of the Proposed Algorithmmentioning
confidence: 99%
“…Change-based segmentation techniques extract moving objects by comparing successive frames or comparing frames with a background model [6], [7]. For video contents from a fixed camera with a static background, change-based segmentation methods are very efficient since their efforts are spent on the changed parts of frames only.…”
Section: Figure 1 Block Diagram Of the Proposed Algorithmmentioning
confidence: 99%
“…There exists a range of techniques for calculation of the background image, B, from the difference image, D; we use a relatively simple approach [2] that updates each pixel of the background image using the equation:…”
Section: Object Segmentationmentioning
confidence: 99%
“…The multiple gaussian per pixel representation used in [2] is robust, but entails a huge computational cost. To keep the background generator computable in real-time on non-specialised hardware, we employ a simple low-pass filter [13], [14].…”
Section: Summary Of Algorithmmentioning
confidence: 99%