Compressive object tracking using entangled photons

Magaña‐Loaiza, Omar S.; Howland, Gregory A.; Malik, Mehul; Howell, John C.; Boyd, Robert W.

doi:10.1063/1.4809836

Cited by 81 publications

(48 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, ghost imaging based on parametric down-conversion uses correlations between individual photon pairs, and hence has unique attributes in ultra-low-light imaging. With one exception [7], in all ghostimaging systems based on parametric down-conversion, the signal and idler have the same (degenerate) or similar wavelengths [8][9][10].…”

mentioning

confidence: 99%

Photon-sparse microscopy: visible light imaging using infrared illumination

Aspden

Gemmell

Morris

et al. 2015

Optica

Self Cite

131

View full text Add to dashboard Cite

Conventional imaging systems rely upon illumination light that is scattered or transmitted by the object and subsequently imaged. Ghost-imaging systems based on parametric downconversion use twin beams of position-correlated signal and idler photons. One beam illuminates an object while the image information is recovered from a second beam that has never interacted with the object. In this Letter, we report on a camera-based ghost imaging system where the correlated photons have significantly different wavelengths. Infrared photons at 1550 nm wavelength illuminate the object and are detected by an InGaAs/InP single-photon avalanche diode. The image data are recorded from the coincidently detected, position-correlated, visible photons at a wavelength of 460 nm using a highly efficient, low-noise, photon-counting camera. The efficient transfer of the image information from infrared illumination to visible detection wavelengths and the ability to count single photons allows the acquisition of an image while illuminating the object with an optical power density of only 100 pJ cm −2 s −1 . This wavelengthtransforming ghost-imaging technique has potential for the imaging of light-sensitive specimens or where covert operation is desired. Low-light-level imaging at infrared wavelengths has many applications within both the technological and biological sectors. These applications span covert security systems, the imaging of light-sensitive biological samples, and imaging within semiconductor devices. However, given that the majority of single-photon-sensitive, large-format detector arrays are siliconbased and therefore ineffective at wavelengths greater than 1 μm, the technological difficulties with such applications are readily apparent: crafting a camera with high quantum efficiency and low noise at infrared wavelengths is difficult and expensive.In this Letter, we circumvent the lack of infrared cameras that combine low-noise with single-photon sensitivity by performing the imaging using the so-called "ghost imaging" method. This method utilizes the spatial correlations between photons in the two output beams, signal and idler, generated through the spontaneous parametric down-conversion (SPDC) process [1].In the 1990s, it was shown how the correlations between photons generated through SPDC could be utilized to create imaging systems [2,3]. These ghost-imaging systems rely on the strong position correlations between the beams of signal and idler photons that are produced by the SPDC process [4]. In a ghost-imaging system a transmissive object is placed in the idler beam and the transmitted photons are measured using a single-element, heralding detector. The use of a single-element detector means that measurements of photons that probe the object reveal no spatial information. In parallel to these measurements of the idler photons, a scanning single-element detector measures the corresponding signal photons-but since these signal photons do not interact with the object, again no image is formed. However, although the ...

show abstract

mentioning

confidence: 99%

Photon-sparse microscopy: visible light imaging using infrared illumination

Aspden

Gemmell

Morris

et al. 2015

Optica

Self Cite

131

View full text Add to dashboard Cite

show abstract

“…However, a much simpler variant of Eq. (4.4.9) can be used in practice to achieve results of comparable quality [140,144]. In this method the target wave function can be found by minimizing the quantity…”

Section: Compressive Direct Measurementmentioning

confidence: 99%

Quantum Information with Structured Light

Mirhosseini

2016

Frontiers in Optics 2016

View full text Add to dashboard Cite

“…A method combining entangled-photon approach with the CS has been proposed in Ref. [17] to detect different targets. Here the number of samplings and the redundancy in the transmission process are reduced and, moreover, the tracking performance remains sufficiently good in the harsh environment.…”

Section: Introductionmentioning

confidence: 99%

Studies on the key methods for compressive ghost-image tracking based on background subtraction

Zhang¹,

Yi²,

Li³

et al. 2017

Ukr. J. Phys. Opt.

View full text Add to dashboard Cite

Abstract. Efficient object tracking represents a technology important for many vision applications. It is known that ghost imaging (GI) has a great potential if compared with a standard imaging and solves many problems in case if the common object tracking cannot be carried out. Here we show how the techniques of compressive GI and background subtraction can achieve object tracking. First, object information is captured with the GI. A characteristic measured for an object is obtained by subtracting background in the compressed domain. This characteristic uses compressive sensing to reconstruct the object image. Then the object image is projection-positioned to obtain the corresponding centroid coordinates. At last, the object trajectory is recovered with a polynomial fit, thus providing successful object tracking. Our simulation experiments suggest that the technique can track objects accurately under condition of low sampling ratios. Moreover, it decreases drastically the number of measurements needed for reconstruction and improves the tracking efficiency.

show abstract

Compressive object tracking using entangled photons

Cited by 81 publications

References 24 publications

Photon-sparse microscopy: visible light imaging using infrared illumination

Photon-sparse microscopy: visible light imaging using infrared illumination

Quantum Information with Structured Light

Studies on the key methods for compressive ghost-image tracking based on background subtraction

Contact Info

Product

Resources

About