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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Thonnessen, U. Ernst, D. Gross, H. |
| Copyright Year | 1992 |
| Description | Author affiliation: Res. Inst. for Inf. Processing & Pattern Recognition FIM/FGAN, Ettlingen, Germany (Thonnessen, U.; Ernst, D.; Gross, H.) |
| Abstract | This paper describes an approach for image sequence processing, which extracts objects (or parts of objects) from the image sequence, generates motion-specifically attributed tracks (location/time course) and derives a hierarchy of motion. The base consists of object-characterizing segments which are determined by a multiple threshold method. This method yields feature descriptions for each segment. Based on this description, an association of the segments from frame to frame is done. The resulting motion vectors are concatenated as long as the features of the segments and the motion-specific attributes do not change significantly. In a subsequent step the analysis of motion-specific interrelations between the tracks is executed. The event recognition is processed and controlled by event models. In conformity with motion concepts the hypotheses of events are initialized by motion dependent changes of the tracks. |
| Starting Page | 383 |
| Ending Page | 386 |
| File Size | 347697 |
| Page Count | 4 |
| File Format | |
| ISBN | 081862910X |
| DOI | 10.1109/ICPR.1992.201581 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-08-30 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image sequences Tracking Data mining Concatenated codes Layout Information processing Pattern recognition Image generation Motion analysis |
| Content Type | Text |
| Resource Type | Article |
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