Skip to Main content Skip to Navigation
Conference papers

Multiple Persons Tracking with Data Fusion of Multiple Cameras and Floor Sensors Using Particle Filters

Abstract : Successful multi-target tracking requires locating the targets and labeling their identities. For the multi-target tracking systems, the latter becomes more challenging when the targets frequently interact with each other. In this paper, we propose a method for multiple persons tracking using multiple cameras and floor sensors. Our method estimates 3D positions of human body and head, and labels their identities. The method is composed of multiple particle filters that interact only in the exclusion occlusion model. Each particle filter tracks each person correctly by integrating information from floor sensors and the targetspecific information from multiple cameras. Integration of these two types of sensors enables complement of each weak point and the correct tracking of the target. Moreover, we develop a new particle filter framework that tracks the human head by using the estimated human body position simultaneously. Our experimental results demonstrate the effectiveness and robustness of the method against several complicated movements of multiple persons. The results also demonstrate that this method can maintain correct tracking when the targets are in close proximity.
Document type :
Conference papers
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/inria-00326752
Contributor : Peter Sturm Connect in order to contact the contributor
Submitted on : Sunday, October 5, 2008 - 1:54:53 PM
Last modification on : Monday, May 17, 2021 - 12:00:04 PM
Long-term archiving on: : Tuesday, October 9, 2012 - 9:56:27 AM

File

1569140046.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00326752, version 1

Collections

Citation

Taketoshi Mori, Takashi Matsumoto, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato. Multiple Persons Tracking with Data Fusion of Multiple Cameras and Floor Sensors Using Particle Filters. Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Andrea Cavallaro and Hamid Aghajan, Oct 2008, Marseille, France. ⟨inria-00326752⟩

Share

Metrics

Record views

1333

Files downloads

1142