TY - GEN
T1 - Indirect tracking to reduce occlusion problems
AU - Keitler, Peter
AU - Schlegel, Michael
AU - Klinker, Gudrun
PY - 2008
Y1 - 2008
N2 - There exist many infrared inside-out 6-DOF pose tracking configurations with cameras mounted rigidly to the environment. In such a setup, tracking is inherently impossible for IR targets inside/below/behind other opaque objects (occlusion problem). We present a solution for the integration of an additional, mobile IR tracking system to overcome this problem. The solution consists of an indirect tracking setup where the stationary cameras track the mobile cameras which in turn track the target. Accuracy problems that are inherent to such an indirect tracking setup, are tackled by an error correction mechanism based on reference points in the scene that are known to both tracking systems. An evaluation demonstrates that, in naive indirect tracking without error correction, the major source of error consists in a wrong detection of orientation of the mobile system and that this source of error can be practically eliminated by our error correction mechanisms.
AB - There exist many infrared inside-out 6-DOF pose tracking configurations with cameras mounted rigidly to the environment. In such a setup, tracking is inherently impossible for IR targets inside/below/behind other opaque objects (occlusion problem). We present a solution for the integration of an additional, mobile IR tracking system to overcome this problem. The solution consists of an indirect tracking setup where the stationary cameras track the mobile cameras which in turn track the target. Accuracy problems that are inherent to such an indirect tracking setup, are tackled by an error correction mechanism based on reference points in the scene that are known to both tracking systems. An evaluation demonstrates that, in naive indirect tracking without error correction, the major source of error consists in a wrong detection of orientation of the mobile system and that this source of error can be practically eliminated by our error correction mechanisms.
KW - Absolute orientation problem
KW - Augmented Reality
KW - Indirect tracking
KW - Sensor fusion
UR - http://www.scopus.com/inward/record.url?scp=70149115044&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89646-3_22
DO - 10.1007/978-3-540-89646-3_22
M3 - Conference contribution
AN - SCOPUS:70149115044
SN - 3540896457
SN - 9783540896456
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 224
EP - 235
BT - Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
T2 - 4th International Symposium on Visual Computing, ISVC 2008
Y2 - 1 December 2008 through 3 December 2008
ER -