Name
Abstract | ||
|---|---|---|
In this article, we present a component-based visual tracker for mobile platforms with an application to person tracking.
The core of the technique is a component-based descriptor that captures the structure and appearance of a target in a flexible
way. This descriptor can be learned quickly from a single training image and is easily adaptable to different objects. It
is especially well suited to represent humans since they usually do not have a uniform appearance but, due to clothing, consist
of different parts with different appearance. We show how this component-based descriptor can be integrated into a visual
tracker based on the well known Condensation algorithm. Several person tracking experiments carried out with a mobile robot
in different laboratory environments show that the system is able to follow people autonomously and to distinguish individuals.
We furthermore illustrate the advantage of our approach compared to other tracking methods. |
Year | DOI | Venue |
|---|---|---|
2010 | https://doi.org/10.1007/s12369-009-0035-1 | International Journal of Social Robotics |
Keywords | Field | DocType |
Visual tracking,Component-based tracking,Person tracking | Computer vision,Simulation,Tracking system,Psychology,Eye tracking,Artificial intelligence,Mobile robot,Condensation algorithm | Journal |
Volume | Issue | ISSN |
2 | 1 | 1875-4791 |
Citations | PageRank | References |
21 | 1.17 | 26 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simone Frintrop | 1 | 695 | 42.88 |
| Achim Königs | 2 | 30 | 3.20 |
| Frank Hoeller | 3 | 33 | 3.35 |
| Dirk Schulz | 4 | 1701 | 236.54 |