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Statistical approac...
Statistical approach to time-to-impact estimation suitable for real-time near-sensor implementation
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- Astrom, Anders (författare)
- Swedish Natl Forens Ctr, Linkoping, Sweden
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- Forchheimer, Robert (författare)
- Linköpings universitet,Informationskodning,Tekniska fakulteten
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(creator_code:org_t)
- SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 2022
- 2022
- Engelska.
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Ingår i: Journal of Electronic Imaging (JEI). - : SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS. - 1017-9909 .- 1560-229X. ; 31:6
- Relaterad länk:
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https://liu.diva-por... (primary) (Raw object)
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visa fler...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We present a method to estimate the time-to-impact (TTI) from a sequence of images. The method is based on detecting and tracking local extremal points. Their endurance within and between pixels is measured, accumulated, and used to achieve the TTI. This method, which improves on an earlier proposal, is entirely different from the ordinary optical flow technique and allows for fast and low-complex processing. The method is inspired by insects, which have some TTI capability without the possibility to compute high-complex optical flow. The method is further suitable for near-sensor image processing architectures. (c) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- high-dynamic range image processing; near-sensor image processing; real-time image processing; time-to-impact
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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