Evidence map›Paper›PMID 27834800›Full record

ArticleSensors (Basel, Switzerland)2016

A Selective Change Driven System for High-Speed Motion Analysis.

Jose A Boluda, Fernando Pardo, Francisco Vegara

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jose A BoludaDepartament d'Informàtica, Escola Tècnica Superior d'Enginyeria, Universitat de València, Avd. de la Universidad, s/n, 46100 Burjassot, Spain. Jose.A.Boluda@uv.es.
Fernando PardoDepartament d'Informàtica, Escola Tècnica Superior d'Enginyeria, Universitat de València, Avd. de la Universidad, s/n, 46100 Burjassot, Spain. Fernando.Pardo@uv.es.
Francisco VegaraDepartament d'Informàtica, Escola Tècnica Superior d'Enginyeria, Universitat de València, Avd. de la Universidad, s/n, 46100 Burjassot, Spain. Francisco.Vegara@uv.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vision-based sensing algorithms are computationally-demanding tasks due to the large amount of data acquired and processed. Visual sensors deliver much information, even if data are redundant, and do not give any additional information. A Selective Change Driven (SCD) sensing system is based on a sensor that delivers, ordered by the magnitude of its change, only those pixels that have changed most since the last read-out. This allows the information stream to be adjusted to the computation capabilities. Following this strategy, a new SCD processing architecture for high-speed motion analysis, based on processing pixels instead of full frames, has been developed and implemented into a Field Programmable Gate-Array (FPGA). The programmable device controls the data stream, delivering a new object distance calculation for every new pixel. The acquisition, processing and delivery of a new object distance takes just 1.7 μ s. Obtaining a similar result using a conventional frame-based camera would require a device working at roughly 500 Kfps, which is far from being practical or even feasible. This system, built with the recently-developed 64 × 64 CMOS SCD sensor, shows the potential of the SCD approach when combined with a hardware processing system.

Indexed as

CMOS image sensordata-flow architectureevent-based visionFPGA systemhigh-speed visual acquisitionlaser scanning

Identifiers

PMID27834800
PMCPMC5134534

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.