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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fauqueur, J. Brostow, G. Cipolla, R. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Cambridge, Cambridge (Fauqueur, J.; Brostow, G.; Cipolla, R.) |
| Abstract | Manual labeling of objects in videos is a tedious task. We present an approach which automatically propagates the labels from a single frame to the next ones. We tackle the challenging problem of tracking segmented regions by combining keypoint tracking with an advanced multiple region matching strategy, based on inclusion similarity and connected regions. We ran experiments on a 101 frame driving video sequence for which we produced the corresponding hand- labeled groundtruth. We make this valuable dataset available for the research community. We show our technique can accommodate variations in segmentation (and correct them), even in presence of multiple independent motions and partial occlusion. Results show that most of the labeled pixels can be correctly propagated even after a hundred frames. The performance of this automatic propagation mechanism over many frames can greatly reduce the user effort in the task of video object labeling. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 762260 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424416301 |
| ISSN | 15505499 |
| DOI | 10.1109/ICCV.2007.4409124 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-14 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Labeling Image segmentation Video sequences Object recognition Humans Robustness Computer vision Radio access networks Biomedical imaging Image analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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