Imaging Components, Systems, and Processing

Intensity variation function and template matching-based pedestrian tracking in infrared imagery with occlusion detection and recovery

[+] Author Affiliations
Fabrizio Lamberti, Rocco Santomo, Andrea Sanna, Paolo Montuschi

Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129 Torino, Italy

Opt. Eng. 54(3), 033106 (Mar 24, 2015). doi:10.1117/1.OE.54.3.033106
History: Received October 30, 2014; Accepted March 3, 2015
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Abstract.  Robustly and efficiently tracking pedestrians in the infrared spectrum is a crucial requirement for a number of applications. At the same time, it is also particularly critical due to both the peculiarities of infrared images and pedestrian targets. In fact, low resolutions and high signal-to-noise ratios combined with extremely variable target signatures, chaotic trajectories, and frequent occlusions have forced researchers to develop ever more complex strategies characterized by a neat trade-off between tracking accuracy and computational complexity. Thus, most of the existing techniques might not be capable of ensuring real-time performances with a suitable degree of robustness, especially on limited-resource hardware used, e.g., in automotive or security scenarios. We present a technique that extends an extremely efficient tracking method originally tailored to targets that exhibit a clear and stable hot spot to allow it to deal with pedestrian targets by reusing its core components and integrating an occlusion detection and recovery mechanism. Experimental results obtained on public datasets confirmed that the devised method is able to obtain a robustness that is superior to that of other common approaches by maintaining the high tracking speed of the reference method.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Fabrizio Lamberti ; Rocco Santomo ; Andrea Sanna and Paolo Montuschi
"Intensity variation function and template matching-based pedestrian tracking in infrared imagery with occlusion detection and recovery", Opt. Eng. 54(3), 033106 (Mar 24, 2015). ; http://dx.doi.org/10.1117/1.OE.54.3.033106


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