| Conference |
| Type of Publication |
| A Segmentation System with Model Assisted Completion of
Video Objects |
| Title |
|
Peter H. N. de With
|
| Authors |
| Visual Communications and Image
Processing, Lugano, Switzerland, July 2003 |
| Published in |
| This paper presents a new algorithm for
video-object segmentation, which combines motion-based
segmentation, high-level object-model detection, and spatial
segmentation into a single framework. This joint approach
overcomes the disadvantages of these algorithms when applied
independently. These disadvantages include the low semantic
accuracy of spatial segmentation and the inexact object
boundaries obtained from object-model matching and motion
segmentation. The now proposed algorithm alleviates three
problems common to all motion-based segmentation algorithms.
First, it completes object areas that cannot be clearly
distinguished from the background because their color is near the
background color. Second, parts of the object that are not
considered to belong to the object since they are not moving, are
still added to the object mask. Finally, when several objects are
moving, of which only one is of interest, it is detected that the
remaining regions do not belong to any object-model and these
regions are removed from the foreground. This suppresses regions
erroneously considered as moving or objects that are moving but
that are completely irrelevant to the user. |
| Abstract |
|
Video-object segmentation
motion segmentation
color segmentation
model-based object detection
inexact graph-matching
dynamic programming
|
| Keywords |
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| Downloads & Bib-Entries |
