Pedestrian Tracking Using Offboard Cameras

Olivier Aycard 1 Anne Spalanzani 1 Julien Burlet 1 Chiara Fulgenzi 1 Trung-Dung Vu 1 David Raulo 1 Manuel Yguel 1
1 E-MOTION - Geometry and Probability for Motion and Action
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
Abstract : In this paper, we detail the hardware and software perception system designed and developed to track pedestrians using a set of offboard cameras. It has been used in the context of vulnerable safety in a car park. This architecture is divided in two parts: a fusion part to fusion the data given by the set of offboard cameras and a tracking part to sequentially estimate the position of each pedestrian present in the environment and to determine the number of pedestrians. Finally, some experimental results are presented.
Document type :
Conference papers
Complete list of metadatas

Cited literature [12 references]  Display  Hide  Download

https://hal.inria.fr/inria-00182023
Contributor : Christian Laugier <>
Submitted on : Wednesday, October 24, 2007 - 6:30:24 PM
Last modification on : Thursday, April 11, 2019 - 12:04:12 PM
Long-term archiving on : Monday, September 24, 2012 - 2:35:47 PM

File

ASBFVRY06.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00182023, version 1

Collections

INRIA | UGA | IMAG

Citation

Olivier Aycard, Anne Spalanzani, Julien Burlet, Chiara Fulgenzi, Trung-Dung Vu, et al.. Pedestrian Tracking Using Offboard Cameras. Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, Oct 2006, Beijing (CN), China. ⟨inria-00182023⟩

Share

Metrics

Record views

285

Files downloads

323