Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Probabilistic Vehicular Trace Reconstruction Based on RF-Visual Data Fusion

Abstract : Geolocation information is not only crucial in conventional crime investigation, but also increasingly important for digital forensics as it allows for the logical fusion of digital evidence that is often fragmented across disparate mobile assets. This, in turn, often requires the reconstruction of mobility patterns. However, real-time surveillance is often difficult and costly to conduct, especially in criminal scenarios where such process needs to take place clandestinely. In this paper, we consider a vehicular tracking scenario and we propose an offline post hoc vehicular trace reconstruction mechanism that can accurately reconstruct vehicular mobility traces of a target entity by fusing the corresponding available visual and radio-frequency surveillance data. The algorithm provides a probabilistic treatment to the problem of incomplete data by means of Bayesian inference. In particular, we realize that it is very likely that a reconstructed route of a target entity will contain gaps (due to missing trace data), so we try to probabilistically fill these gaps. This allows law enforcement agents to conduct off-line tracking while characterizing the quality of available evidence.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Monday, August 18, 2014 - 6:14:32 PM
Last modification on : Friday, August 11, 2017 - 3:29:25 PM
Long-term archiving on: : Thursday, November 27, 2014 - 5:32:27 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Saif Al-Kuwari, Stephen D. Wolthusen. Probabilistic Vehicular Trace Reconstruction Based on RF-Visual Data Fusion. 11th IFIP TC 6/TC 11 International Conference on Communications and Multimedia Security (CMS), May 2010, Linz, Austria. pp.16-27, ⟨10.1007/978-3-642-13241-4_3⟩. ⟨hal-01056371⟩



Record views


Files downloads