Monocular 3D tracking of multiple interacting targets
- Resource Type
- Conference
- Authors
- Osawa, Tatsuya; Kyoko Sudo; Hiroyuki Arai; Hideki Koike
- Source
- 2008 19th International Conference on Pattern Recognition Pattern Recognition, 2008. ICPR 2008. 19th International Conference on. :1-4 Dec, 2008
- Subject
- Signal Processing and Analysis
Computing and Processing
Target tracking
Humans
Cameras
State-space methods
Shape
State estimation
Surveillance
Head
Laboratories
Particle tracking
- Language
- ISSN
- 1051-4651
In this paper, we present a new approach based on Markov Chain Monte Carlo(MCMC) for the stable monocular tracking of variable interacting targets in 3D space. The crucial problem with monocular tracking multiple targets is that mutual occlusions on the 2D image cause target conflict(change ID, merge targets…). We focus on the fact that multiple targets cannot occupy the same position in 3D space and propose to track multiple interacting targets using relative position of targets in 3D space. Experiments show that our system can stably track multiple humans that are interacting with each other.