2019
DOI: 10.3233/ica-180593
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A multi-aperture optical flow estimation method for an artificial compound eye

Abstract: An artificial compound eye (ACE) is a bio-inspired vision sensor which mimics a natural compound eye (typical of insects). This artificial eye is able to visualize large fields of the outside world through multi-aperture. Due to its functioning, the ACE is subject to optical flow, that is an apparent motion of the object visualized by the eye. This paper proposes a method to estimate the optical flow based on capturing multiple images (multi-aperture).In this method, based on descriptors-based initial optical … Show more

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Cited by 12 publications
(11 citation statements)
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“…Our aim is to refine the work presented here and better address the constraints of fall detection systems. Going forward, we plan to use deep learning (DL) methods due to their performances as mentioned in recent works [19,20] to more accurately recognize human posture. We will start by 4 postures (standing up, sitting, lying on the ground and lying on a bed or sofa) in the context of fall detection and also fall prevention by activity analysis.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our aim is to refine the work presented here and better address the constraints of fall detection systems. Going forward, we plan to use deep learning (DL) methods due to their performances as mentioned in recent works [19,20] to more accurately recognize human posture. We will start by 4 postures (standing up, sitting, lying on the ground and lying on a bed or sofa) in the context of fall detection and also fall prevention by activity analysis.…”
Section: Resultsmentioning
confidence: 99%
“…Several features based on temperature thresholds are proposed to be evaluated by a Support Vector Machine (SVM) in the classification. However, in [19,20] authors have proposed another type of thermal sensor but relatively expensive. In [21], a very economical thermal imaging based input modality is proposed to detect falls using the optical flow of human movements tested on public datasets.…”
Section: Related Workmentioning
confidence: 99%
“…Due to industrial demand, the pattern analysis by DNNs has been introduced for contentbased image retrieval [10], noisy image recognition [11], 3D medical image super-resolution [12], video surveillance [13], foreground detection [14], multi-object tracking [15], explosive device detection [16], pupil detection [17], online data streaming [18], airport baggage handling [19], and many other objectives. Computational photography [20] and purpose-specific machine learning [21] have been also employed to solve industrial problems.…”
Section: Pattern Analysis For Fabric Imagesmentioning
confidence: 99%
“…Among the many variants of P Systems, Numerical P Systems (NPS) [49] and Enzymatic Numerical P Systems (ENPS) [61] are amongst the most successful due to their high performance in robots' control applications [7,8,41,63,13], especially for modular and complex tasks of autonomous mobile robots (AMR), see also [12,42,65,47,3]. The success of NPS and ENPS in robotics is due to the inherent parallel and distributed nature of these P systems along with their powerful numerical computation power [43].…”
Section: Introductionmentioning
confidence: 99%