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Sensors 2012, 12(3), 2920-2934; doi:10.3390/s120302920

FISST Based Method for Multi-Target Tracking in the Image Plane of Optical Sensors

School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
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Received: 3 February 2012 / Revised: 23 February 2012 / Accepted: 1 March 2012 / Published: 2 March 2012
(This article belongs to the Section Physical Sensors)
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Abstract

A finite set statistics (FISST)-based method is proposed for multi-target tracking in the image plane of optical sensors. The method involves using signal amplitude information in probability hypothesis density (PHD) filter which is derived from FISST to improve multi-target tracking performance. The amplitude of signals generated by the optical sensor is modeled first, from which the amplitude likelihood ratio between target and clutter is derived. An alternative approach is adopted for the situations where the signal noise ratio (SNR) of target is unknown. Then the PHD recursion equations incorporated with signal information are derived and the Gaussian mixture (GM) implementation of this filter is given. Simulation results demonstrate that the proposed method achieves significantly better performance than the generic PHD filter. Moreover, our method has much lower computational complexity in the scenario with high SNR and dense clutter. View Full-Text
Keywords: finite set statistics; signal amplitude information; PHD filter; multi-target tracking; Gaussian mixture finite set statistics; signal amplitude information; PHD filter; multi-target tracking; Gaussian mixture
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Xu, Y.; Xu, H.; An, W.; Xu, D. FISST Based Method for Multi-Target Tracking in the Image Plane of Optical Sensors. Sensors 2012, 12, 2920-2934.

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