Skip to Main content Skip to Navigation
Journal articles

Analysis of Deterministic Tracking of Multiple Objects using a Binary Sensor Network

Abstract : Let consider a set of anonymous moving objects to be tracked in a binary sensor network. This paper studies the problem of associating deterministically a track revealed by the sensor network with the trajectory of an unique anonymous object, namely the Multiple Object Tracking and Identification (MOTI) problem. In our model, the network is represented by a sparse connected graph where each vertex represents a binary sensor and there is an edge between two sensors if an object can pass from one sensed region to another one without activating any other sensor. The difficulty of MOTI lies in the fact that the trajectories of two or more objects can be so close that the corresponding tracks on the sensor network can no longer be distinguished (track merging), thus confusing the deterministic association between an object trajectory and a track. The paper presents several results. We first show that MOTI cannot be solved on a general graph of ideal binary sensors even by an omniscient external observer if all the objects can freely move on the graph. Then, we describe some restrictions that can be imposed a priori either on the graph, on the object movements or both, to make the MOTI problem always solvable. In the case of absence of an omniscient observer, we show how our results can lead to the definition of distributed algorithms that are able to detect when the system is in a state where MOTI becomes unsolvable.
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/inria-00590873
Contributor : Marin Bertier Connect in order to contact the contributor
Submitted on : Thursday, May 5, 2011 - 1:03:53 PM
Last modification on : Wednesday, April 27, 2022 - 3:49:19 AM
Long-term archiving on: : Friday, November 9, 2012 - 10:45:49 AM

File

BQBBK09.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

  • HAL Id : inria-00590873, version 1

Citation

yann Busnel, Leonardo Querzoni, Roberto Baldoni, Marin Bertier, Anne-Marie Kermarrec. Analysis of Deterministic Tracking of Multiple Objects using a Binary Sensor Network. ACM Transactions on Sensor Networks, Association for Computing Machinery, 2011, 8, pp.0. ⟨inria-00590873⟩

Share

Metrics

Record views

635

Files downloads

346