Evidence map›Paper›PMID 37430775›Full record

ArticleSensors (Basel, Switzerland)2023

A Systematic Solution for Moving-Target Detection and Tracking While Only Using a Monocular Camera.

Shun Wang, Sheng Xu, Zhihao Ma, Dashuai Wang, Weimin Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

5 authors.

Shun WangGuangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China.
Sheng XuGuangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China.ORCID 0000-0002-5086-4152
Zhihao MaShandong Institute of Advanced Technology, CAS, Jinan 250102, China.
Dashuai WangGuangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China.ORCID 0000-0002-3159-7175
Weimin LiGuangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2020B1515120054Key Research and Development Plan of Shandong Province 2021CXGC011304National Natural Science Foundation of China 62273327, 32001424Shenzhen Science and Technology Program KCXFZ20211020165003005, JCYJ20210324102401005
6 · The paper itself

Abstract

This paper focuses on moving-target detection and tracking in a three-dimensional (3D) space, and proposes a visual target tracking system only using a two-dimensional (2D) camera. To quickly detect moving targets, an improved optical flow method with detailed modifications in the pyramid, warping, and cost volume network (PWC-Net) is applied. Meanwhile, a clustering algorithm is used to accurately extract the moving target from a noisy background. Then, the target position is estimated using a proposed geometrical pinhole imaging algorithm and cubature Kalman filter (CKF). Specifically, the camera's installation position and inner parameters are applied to calculate the azimuth, elevation angles, and depth of the target while only using 2D measurements. The proposed geometrical solution has a simple structure and fast computational speed. Different simulations and experiments verify the effectiveness of the proposed method.

Indexed as

3D target trackingcubature Kalman filtermonocular visionmoving-target detectionoptical flow

Identifiers

PMID37430775
PMCPMC10222631

What OpenQuestion holds

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Registered trials

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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.