Object Tracking via Compressive Sensing

Yun Li; Chinmay Hegde; Kevin F. Kelly

doi:10.1364/cosi.2014.cm2d.4

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JOURNAL ARTICLE

Object Tracking via Compressive Sensing

Yun Li Chinmay Hegde Kevin F. Kelly

Year: 2014 Journal: Classical Optics 2014 Pages: CM2D.4-CM2D.4

DOI: 10.1364/cosi.2014.cm2d.4

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Abstract

We propose a novel, low-cost and efficient tracking system for various spectrums based on the single pixel camera. By designing patterns that effectively preserve the object location, the guaranteed tracking speed is considerably improved.

Keywords:

Tracking (education) Computer vision Computer science Video tracking Artificial intelligence Object (grammar) Pixel Tracking system Object detection Pattern recognition (psychology) Kalman filter

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Random lasers and scattering media

Physical Sciences → Physics and Astronomy → Acoustics and Ultrasonics

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Object Tracking via Compressive Sensing

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