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Communication Dans Un Congrès Année : 2019

Joint stereo camera calibration and multi-target tracking using the linear-complexity factorial cumulant filter

Résumé

The calibration of an unknown sensor, such as a camera, is a key issue in the sensor fusion domain. This paper addresses this problem by expanding upon previously introduced work. This method uses a unified Bayesian framework with an alternative parameterisation known as disparity space to calibrate an unknown camera's spatial parameters in reference to a known camera. Here, the recently developedLinear-Complexity Cumulant (LCC) filter is used to improve the both the multitarget tracking and calibration facets of the framework. The new implementation is compared against a Probability Hypothesis Density (PHD) method upon simulated data.
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Dates et versions

hal-02448363 , version 1 (22-01-2020)

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Citer

Mark Campbell, Daniel E Clark. Joint stereo camera calibration and multi-target tracking using the linear-complexity factorial cumulant filter. SDF 2019 : 13th symposium on Sensor Data Fusion: trends, solutions, applications, Oct 2019, Bonn, Germany. pp.1-7, ⟨10.1109/SDF.2019.8916653⟩. ⟨hal-02448363⟩
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