A Spatial-Motion-Segmentation Algorithm by Fusing EDPA and Motion Compensation.

Xinghua Liu, Yunan Zhao, Lei Yang, Shuzhi Sam Ge

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Independent Motion Segmentation Based on Pure Event Data.Sensors (Basel, Switzerland) · 2026
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

4 authors.

Xinghua LiuSchool of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.ORCID 0000-0001-5665-3535

Yunan ZhaoSchool of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.

Lei YangSchool of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.

Shuzhi Sam GeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 119077, Singapore.

Funding

National Natural Science Foundation of China U2003110

6 · The paper itself

Abstract

Motion segmentation is one of the fundamental steps for detection, tracking, and recognition, and it can separate moving objects from the background. In this paper, we propose a spatial-motion-segmentation algorithm by fusing the events-dimensionality-preprocessing algorithm (EDPA) and the volume of warped events (VWE). The EDPA consists of depth estimation, linear interpolation, and coordinate normalization to obtain an extra dimension (

Indexed as

AlgorithmsMotiondepth estimationevent cameramotion compensationmotion flowmotion segmentation

Identifiers

PMID36146090

DOI10.3390/s22186732

PMCPMC9502573

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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.