Name
Abstract | ||
|---|---|---|
In this paper, we present a new object tracking approach in grey-level image sequences. The method is based on the analysis of the histogram of distribution of the image and the feature points of the object. Among the essential contribu- tions of this work, we can quote a better modelling of the object to track and the consideration of the target appear- ance changes during the sequence. Our approach is a pro- longation of the CamShift algorithm (Continuously Adaptive MeanShift) applications. The goal is to widen the field of application of this algorithm in order to adapt it to grey-level image sequences presenting strong modifications of shape, luminosity and grey-level values. |
Year | Venue | Field |
|---|---|---|
2006 | European Signal Processing Conference | Histogram,Computer vision,Pattern recognition,Computer science,Tracking system,Luminosity,Video tracking,Artificial intelligence |
DocType | ISSN | Citations |
Conference | 2219-5491 | 4 |
PageRank | References | Authors |
0.49 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Ganoun | 1 | 4 | 0.83 |
| Nouar Ould-Dris | 2 | 4 | 0.49 |
| R Canals | 3 | 20 | 2.23 |