An analysis of small target feature detection limits using optic flow

Joseph Conroy; Gregory Gremillion; Allison Mathis; William Nothwang

doi:10.1117/12.2179259

22 May 2015 An analysis of small target feature detection limits using optic flow

Joseph Conroy, Gregory Gremillion, Allison Mathis, William Nothwang

Proceedings Volume 9467, Micro- and Nanotechnology Sensors, Systems, and Applications VII; 94671Q (2015) https://doi.org/10.1117/12.2179259
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

The neurophysiology of insects suggests that they are able to track conspecifics, which manifest as small targets, against a variety of backgrounds with ease. This perception occurs at the same stage as motion perception suggesting a role for optic flow in target discrimination. Optic flow also is an attractive method of perception for visual system design due to the possibility of parallel processing that lends itself to implementation in hardware acceleration. This paper investigates some of the limits for reliable target discrimination solely from an optic flow field which are dependent on algorithm parameters, the nature of the target, and imager noise properties.

Citation Download Citation

Joseph Conroy, Gregory Gremillion, Allison Mathis, and William Nothwang "An analysis of small target feature detection limits using optic flow", Proc. SPIE 9467, Micro- and Nanotechnology Sensors, Systems, and Applications VII, 94671Q (22 May 2015); https://doi.org/10.1117/12.2179259

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