Dynamic Scene Reconstruction for 3D Virtual Guidance

Calbi, Alessandro; Regazzoni, Carlo S.

doi:10.1007/11893004_23

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…In general, most of the research in this area involves reconstructing scenes from images. For example, in [2] Calbi et al proposed a set of computer-visionbased algorithms that are able to reconstruct a 3D scene of multiple moving objects. However, this system depends on pre-installed camera entities surveilling the area to be reconstructed.…”

Section: Related Workmentioning

confidence: 99%

Probabilistic Vehicular Trace Reconstruction Based on RF-Visual Data Fusion

Al-Kuwari

Wolthusen

2010

Communications and Multimedia Security

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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.

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Section: Related Workmentioning

confidence: 99%