Name
Abstract | ||
|---|---|---|
This paper deals with the problem of tracking multiple objects in outdoor scenarios for the prospective of intelligent vehicles. The input of the proposed algorithm is the result of a stereovision obstacle detection algorithm. The aim is to establish the correspondence between the detected objects in consecutive frames and to reconstruct the trajectory of each individual object. To this purpose, an object model based on its scene position and its intensity caracteristic is defined. A track management strategy including track initiation, track termination and track continuation is also proposed. This strategy enables to deal with issues such as object appearance, dispapearance, occlusion and detection failure. An adaptive model update technique is applied in order to take into account appearance variations of the tracked object along time. Experiments were carried out in the context of pedestrian detection. Results on urban scenarios illustrate the performance of the proposed method. |
Year | Venue | Keywords |
|---|---|---|
2009 | VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2 | Visual tracking, Multiple object tracking, Correspondence problem, Stereo vision |
Field | DocType | Citations |
Stereo cameras,Computer vision,Stereo camera,Computer science,Stereopsis,Artificial intelligence,Computer stereo vision | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Ganoun | 1 | 4 | 0.83 |
| Thomas Veit | 2 | 71 | 4.87 |
| Didier Aubert | 3 | 361 | 35.97 |