Assessing the performance of a motion tracking system based on optical joint transform correlation

We present an optimized system specially designed for the tracking and recognition of moving subjects in a confined environment (such as an elderly remaining at home). In the first step of our study, we use a VanderLugt correlator (VLC) with an adapted pre-processing treatment of the input plane and...

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Bibliographic Details
Published in:	Optics communications Vol. 349; pp. 65 - 82
Main Authors:	Elbouz, M., Alfalou, A., Brosseau, C., Ben Haj Yahia, N., Alam, M.S.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15-08-2015 Elsevier
Subjects:	Computer Science Discrimination Engineering Sciences Joint transform correlation Motion detection Optical correlation Physics Robustness Tracking Robustness Motion detection Optical correlation Discrimination Tracking Joint transform correlation
Online Access:	Get full text
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Summary:	We present an optimized system specially designed for the tracking and recognition of moving subjects in a confined environment (such as an elderly remaining at home). In the first step of our study, we use a VanderLugt correlator (VLC) with an adapted pre-processing treatment of the input plane and a postprocessing of the correlation plane via a nonlinear function allowing us to make a robust decision. The second step is based on an optical joint transform correlation (JTC)-based system (NZ-NL-correlation JTC) for achieving improved detection and tracking of moving persons in a confined space. The proposed system has been found to have significantly superior discrimination and robustness capabilities allowing to detect an unknown target in an input scene and to determine the target’s trajectory when this target is in motion. This system offers robust tracking performance of a moving target in several scenarios, such as rotational variation of input faces. Test results obtained using various real life video sequences show that the proposed system is particularly suitable for real-time detection and tracking of moving objects. •We present an optimized system for the tracking and recognition of moving subjects.•We use a VLC with an adapted pre-processing treatment and a post-processing.•Our system is based on a JTC-based system (NZ-NL-correlation JTC).•This system offers robust tracking performance of a moving target in several scenarios.•Tests show that our system is particularly suitable for real-time tracking.
ISSN:	0030-4018 1873-0310
DOI:	10.1016/j.optcom.2015.03.020