TY - GEN
T1 - Mobile camera positioning to optimize the observability of human activity recognition tasks
AU - Bodor, Robert
AU - Drenner, Andrew
AU - Janssen, Michael
AU - Schrater, Paul
AU - Papanikolopoulos, Nikolaos
PY - 2005
Y1 - 2005
N2 - The performance of systems for human activity recognition depends heavily on the placement of cameras observing the scene. This work addresses the question of the optimal placement of cameras to maximize the performance of these types of recognition tasks. Specifically, our goal is to optimize the quality of the joint observability of the tasks being performed by the subjects in an area. We develop a general analytical formulation of the observation problem, in terms of the statistics of the motion in the scene and the total resolution of the observed actions, that is applicable to many observation tasks and multi-camera systems. A nonlinear optimization approach is used to find the internal and external (mounting position and orientation) camera parameters that optimize the recognition criteria. In these experiments, a single camera is repositioned using a mobile robot. Initial results for the problem of human activity recognition are presented.
AB - The performance of systems for human activity recognition depends heavily on the placement of cameras observing the scene. This work addresses the question of the optimal placement of cameras to maximize the performance of these types of recognition tasks. Specifically, our goal is to optimize the quality of the joint observability of the tasks being performed by the subjects in an area. We develop a general analytical formulation of the observation problem, in terms of the statistics of the motion in the scene and the total resolution of the observed actions, that is applicable to many observation tasks and multi-camera systems. A nonlinear optimization approach is used to find the internal and external (mounting position and orientation) camera parameters that optimize the recognition criteria. In these experiments, a single camera is repositioned using a mobile robot. Initial results for the problem of human activity recognition are presented.
KW - Human activity monitoring
KW - Observability
KW - Patrol robotics
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=79957977723&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957977723&partnerID=8YFLogxK
U2 - 10.1109/IROS.2005.1545599
DO - 10.1109/IROS.2005.1545599
M3 - Conference contribution
AN - SCOPUS:79957977723
SN - 0780389123
SN - 9780780389120
T3 - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
SP - 1564
EP - 1569
BT - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
PB - IEEE Computer Society
ER -