Title
Person tracking in three-dimensional laser range data with explicit occlusion adaption.
Abstract
This paper presents an approach to exploit the richer information of sensor data provided by 3d laser rangefinders for the purpose of person tracking. Introduced is a method to adapt the observation model of a particle filter, to identify partial and full occlusions of a person, to determine the amount of occlusion behind an obstacle, and the occluding obstacle itself. This is done by tracing rays from positions near the person to the sensor and determining whether the ray hits an obstacle. The laser range data is represented using a voxel grid, which facilitates efficient retrieval and data reduction. As our experiments show, our proposed tracking approach is able to reliably keep track of a person in real-time, even when only partially visible, when moving in uneven terrain, or when the person passes closely another person of different size.
Year
DOI
Venue
2011
10.1109/ICRA.2011.5979984
ICRA
Keywords
Field
DocType
computer graphics,data reduction,laser ranging,object tracking,particle filtering (numerical methods),ray tracing,3D laser rangefinder,data reduction,occlusion,particle filter,person tracking,ray tracing,sensor data,three-dimensional laser range data,voxel grid
Voxel,Obstacle,Computer vision,Ray tracing (graphics),Terrain,Particle filter,Video tracking,Artificial intelligence,Engineering,Tracing,Data reduction
Conference
Volume
Issue
ISSN
2011
1
1050-4729
Citations 
PageRank 
References 
5
0.53
7
Authors
5
Name
Order
Citations
PageRank
Florian Schöler1141.56
Jens Behley213915.71
Volker Steinhage339787.15
Dirk Schulz41701236.54
Armin B. Cremers52287446.79