Target detection for depth imaging using sparse single-photon data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a new Bayesian model and associated algorithm for depth and intensity profiling using full waveforms from time-correlated single-photon counting (TCSPC) measurements when the photon count in very low. The model represents each Lidar waveform as an unknown constant background level, which is combined in the presence of a target, to a known impulse response weighted by the target intensity and finally corrupted by Poisson noise. The joint target detection and depth imaging problem is expressed as a pixel-wise model selection problem which is solved using Bayesian inference. A Reversible Jump Markov chain Monte Carlo algorithm is proposed to compute the Bayesian estimates of interest. Finally, the benefits of the methodology are demonstrated through a series of experiments using real data.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Pages3256-3260
Number of pages5
ISBN (Print)9781479999880
DOIs
Publication statusPublished - 2016
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016 - Shanghai International Convention Center, Shanghai, China
Duration: 20 Mar 201625 Mar 2016

Conference

Conference41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016
Abbreviated titleICASSP 2016
CountryChina
CityShanghai
Period20/03/1625/03/16

Fingerprint

Target tracking
Photons
Imaging techniques
Optical radar
Impulse response
Markov processes
Pixels
Experiments

Keywords

  • Bayesian estimation
  • depth imaging
  • Full waveform Lidar
  • Poisson statistics
  • Reversible Jump Markov Chain Monte Carlo

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Altmann, Y., Ren, X., McCarthy, A., Buller, G. S., & McLaughlin, S. (2016). Target detection for depth imaging using sparse single-photon data. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3256-3260). IEEE. https://doi.org/10.1109/ICASSP.2016.7472279
Altmann, Yoann ; Ren, Ximing ; McCarthy, Aongus ; Buller, Gerald S. ; McLaughlin, Steve. / Target detection for depth imaging using sparse single-photon data. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. pp. 3256-3260
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title = "Target detection for depth imaging using sparse single-photon data",
abstract = "This paper presents a new Bayesian model and associated algorithm for depth and intensity profiling using full waveforms from time-correlated single-photon counting (TCSPC) measurements when the photon count in very low. The model represents each Lidar waveform as an unknown constant background level, which is combined in the presence of a target, to a known impulse response weighted by the target intensity and finally corrupted by Poisson noise. The joint target detection and depth imaging problem is expressed as a pixel-wise model selection problem which is solved using Bayesian inference. A Reversible Jump Markov chain Monte Carlo algorithm is proposed to compute the Bayesian estimates of interest. Finally, the benefits of the methodology are demonstrated through a series of experiments using real data.",
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Altmann, Y, Ren, X, McCarthy, A, Buller, GS & McLaughlin, S 2016, Target detection for depth imaging using sparse single-photon data. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 3256-3260, 41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016, Shanghai, China, 20/03/16. https://doi.org/10.1109/ICASSP.2016.7472279

Target detection for depth imaging using sparse single-photon data. / Altmann, Yoann; Ren, Ximing; McCarthy, Aongus; Buller, Gerald S.; McLaughlin, Steve.

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. p. 3256-3260.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Altmann Y, Ren X, McCarthy A, Buller GS, McLaughlin S. Target detection for depth imaging using sparse single-photon data. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. 2016. p. 3256-3260 https://doi.org/10.1109/ICASSP.2016.7472279