Name
Abstract | ||
|---|---|---|
Visually track several moving persons engaged in close interactions is known to be a very hard problem, though 3-D approaches based on stereo vision and plan-view maps offer much promise for dealing effectively with major issues such as occlusions and quick changes in body pose and appearance. However, in case of untextured scenes due to homogeneous objects or poor illumination, stereo-based tracking systems rapidly drop their performance. In this work, we present a real time people tracking system able to work even under severe low-lighting conditions. The system relies on a novel active sensor that provides brightness and depth images based on a Time of Flight (TOF) technology. The tracking algorithm is simple yet efficient, being based on geometrical constraints and invariants. Experiments accomplished under changing lighting conditions and involving multiple people closely interacting with each other have proved the reliability of the system. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/AVSS.2006.92 | AVSS |
Keywords | Field | DocType |
multiple people,hard problem,homogeneous object,geometrical constraint,time-of-flight depth sensor,people tracking,depth image,stereo-based tracking system,close interaction,3-d approach,real time people,tracking algorithm,lighting,real time,intelligent sensors,stereo vision,time of flight,visual tracking,layout,image sensors | Computer vision,Image sensor,Homogeneous,Computer science,Intelligent sensor,Stereopsis,Tracking system,Invariant (mathematics),Artificial intelligence,Time of flight,Brightness | Conference |
ISBN | Citations | PageRank |
0-7695-2688-8 | 17 | 1.16 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Bevilacqua | 1 | 200 | 26.45 |
| Luigi Di Stefano | 2 | 1732 | 88.17 |
| Pietro Azzari | 3 | 98 | 6.37 |