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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02457-5
Abstract: Recently, with the development of deep-learning, the performance of multi-object tracking algorithms based on deep neural networks has been greatly improved. However, most methods separate different functional modules into multiple networks and train them independently…
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Keywords:
online multi;
object tracking;
appearance features;
multi object ... See more keywords
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Published in 2018 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-018-1087-1
Abstract: Online two-dimensional (2D) multi-object tracking (MOT) is a challenging task when the objects of interest have similar appearances. In that case, the motion of objects is another helpful cue for tracking and discriminating multiple objects.…
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Keywords:
motion;
data association;
object tracking;
camera ... See more keywords
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Published in 2017 at "Journal of Interdisciplinary Mathematics"
DOI: 10.1080/09720502.2017.1358879
Abstract: Abstract The rapid development of information technology has promoted the division of labor in the globalization of manufacturing enterprises. Under this background, the location problem of manufacturing enterprises is very important. Through the literature analysis…
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Keywords:
decision;
location;
manufacturing enterprises;
model ... See more keywords
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Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa1944
Abstract: Multi-object spectroscopy has become a valuable technique in numerous modern astronomical facilities. Most spectrographs have thousands of fibre positioners packed at a focal plane with shared working space. Therefore, positioners might collide with each other,…
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Keywords:
multi;
phi positioners;
object fibre;
theta phi ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2864672
Abstract: The automatic analysis of images acquired by cameras mounted on board of drones (flying cameras) is attracting many scientists working in the field of computer vision; the interest is related to the increasing need of…
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Keywords:
cameras based;
object tracking;
flying cameras;
tracking flying ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921975
Abstract: Recent online multi-object tracking (MOT) methods have achieved desirable tracking performance. However, the tracking speed of most existing methods is rather slow. Inspired from the fact that the adjacent frames are highly relevant and redundant,…
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Keywords:
online multi;
compressed domain;
object tracking;
online ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2975912
Abstract: Tracking multiple objects in a video sequence can be accomplished by identifying the objects appearing in the sequence and distinguishing between them. Therefore, many recent multi-object tracking (MOT) methods have utilized re-identification and distance metric…
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Keywords:
oneshotda online;
shot learning;
proposed method;
multi object ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2994000
Abstract: Multi-object tracking (MOT) constructs multiple object trajectories by associating detections between consecutive frames while maintaining object identities. In many autonomous systems equipped with a camera and a radar, an amplitude and visual features can be…
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Keywords:
online multi;
mot;
tracking visual;
object tracking ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3154895
Abstract: A problem of current interest is how to emulate nature by acquiring information in a neuromorphic-like fashion; namely, by using configurable hardware and electronic systems to emulate the information gathering and processing strategies of biological…
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Keywords:
system;
bio inspired;
algorithm bio;
object tracking ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3173408
Abstract: This paper proposes an improvement to the multi-object tracking system framework based on the image inputs. By analyzing the role and performance of each block in the original multi-objects tracking system, the blocks of the…
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Keywords:
system;
object tracking;
detection;
real time ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3274662
Abstract: Conventional multi-object tracking (MOT) methods often fail to track objects that repeatedly disappear and reappear in the scene due to occlusion or moving off the screen. Previous studies have used motion and appearance information to…
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Keywords:
object tracking;
appearance;
identification;
multi object ... See more keywords