| Conference |
| Type of Publication |
| Robust Background Estimation for Complex Video
Sequences |
| Title |
|
Peter H. N. de With
|
| Authors |
| International Conference on Image Processing
(ICIP), September 2003 |
| Published in |
| Knowing the background image of a video scene
simplifies the general video-object segmentation problem and
therefore it is required by several automatic segmentation
algorithms. This paper presents a new background estimation
algorithm which is applicable to complex video sequences where
many objects are simultaneously visible and the background is
visible for a short time period only. The algorithm applies a
rough segmentation of the input images into foreground and
background regions to exclude the foreground objects from
background synthesis. This prevents a bias of the synthesized
background image towards the color of foreground objects.
Experiments show that the obtained background images differ
significantly less from the real background than those obtained
with previous algorithms. |
| Abstract |
|
Background reconstruction
Background sprites
Image segmentation
|
| Keywords |
| [PDF]
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