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Hyper-parameter optimization tools comparison for multiple object tracking applications

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0 Published in 2018 at "Machine Vision and Applications"

DOI: 10.1007/s00138-018-0984-1

Abstract: Commonly, an algorithm needs a certain number of variables that control its behavior. The optimal values result in a better performance that could generate profits for companies, make the algorithm stands out from similar applications… read more here.

Keywords: multiple object; hyper parameter; object tracking; parameter optimization ... See more keywords

Real-time multiple object tracking using deep learning methods

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1 Published in 2021 at "Neural Computing and Applications"

DOI: 10.1007/s00521-021-06391-y

Abstract: Multiple-object tracking is a fundamental computer vision task which is gaining increasing attention due to its academic and commercial potential. Multiple-object detection, recognition and tracking are quite desired in many domains and applications. However, accurate… read more here.

Keywords: real time; time multiple; object tracking; deep sort ... See more keywords

Multiple object tracking by reliable tracklets

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0 Published in 2019 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-019-01418-3

Abstract: This paper proposes a novel network flow model for multi-target tracking, which uses short and highly reliable detection responses as the basic unit, namely the tracklet, in the model. Our model exploits the local information… read more here.

Keywords: tracking reliable; object tracking; reliable tracklets; multiple object ... See more keywords

A Novel Intuitionistic Fuzzy Clustering Algorithm Based on Feature Selection for Multiple Object Tracking

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1 Published in 2019 at "International Journal of Fuzzy Systems"

DOI: 10.1007/s40815-019-00645-7

Abstract: In this paper, a novel intuitionistic fuzzy clustering algorithm based on feature selection (IFC-FS) for multiple object tracking is proposed. In the proposed algorithm, the neighborhood rough set is used to achieve the adaptive selection… read more here.

Keywords: fuzzy clustering; intuitionistic fuzzy; novel intuitionistic; multiple object ... See more keywords

Algorithm for extracting multiple object waves without Fourier transform from a single image recorded by spatial frequency-division multiplexing and its application to digital holography

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0 Published in 2017 at "Optics Communications"

DOI: 10.1016/j.optcom.2017.06.060

Abstract: Abstract We propose a novel algorithm that does not require any Fourier transform to extract multiple object waves in a single image recorded with spatial frequency-division multiplexing. Smoothing is utilized to extract the desired object-wave… read more here.

Keywords: fourier transform; image; object waves; multiple object ... See more keywords

Distracting Tracking: Interactions Between Negative Emotion and Attentional Load in Multiple-Object Tracking

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0 Published in 2017 at "Emotion"

DOI: 10.1037/emo0000329

Abstract: Stimuli that attract exogenous attention have been shown to interfere with behavioral performance on various tasks. In the present study, participants performed multiple-object tracking (MOT) in conditions where either neutral or negatively valenced images were… read more here.

Keywords: attentional load; object tracking; emotional distraction; multiple object ... See more keywords

0254 The Effects of Chronic Sleep Restriction on Multiple Object Tracking

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1 Published in 2020 at "Sleep"

DOI: 10.1093/sleep/zsaa056.252

Abstract: The ability to simultaneously track numerous moving objects in the presence of irrelevant stimuli is essential for successfully carrying out a variety of tasks. Sleep loss impairs neurocognitive functioning and, as a result, attentional processing… read more here.

Keywords: hours sleep; sleep restriction; object tracking; multiple object ... See more keywords

Multiple object tracking with appearance feature prediction and similarity fusion

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3279868

Abstract: Object tracking is a crucial research area within the field of intelligent transportation, providing a vital foundation for anomalous behavior analysis and traffic statistics. Although pedestrian detectors have shown impressive results, leading to the advancement… read more here.

Keywords: object tracking; similarity; multiple object; tracking appearance ... See more keywords

Hybrid Motion Model for Multiple Object Tracking in Mobile Devices

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4 Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3219627

Abstract: For an intelligent transportation system, multiple object tracking (MOT) is more challenging from the traditional static surveillance camera to mobile devices of the Internet of Things (IoT). To cope with this problem, previous works always… read more here.

Keywords: object tracking; multiple object; motion; hybrid motion ... See more keywords

AOH: Online Multiple Object Tracking With Adaptive Occlusion Handling

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1 Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3191549

Abstract: Multiple object tracking has improved drastically in recent years due to one-shot tracking methods. These methods design joint-detection-and-tracking structures to achieve real-time tracking performance and introduce more powerful detectors to deal with missed objects. However,… read more here.

Keywords: object tracking; occlusion; multiple object; adaptive occlusion ... See more keywords

Bidirectional Multiple Object Tracking Based on Trajectory Criteria in Satellite Videos

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2 Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3235883

Abstract: Multiple object tracking (MOT) in satellite videos requires to detect all objects belonging to specified categories and identify each object, which plays a basic and necessary role in automatic driving, traffic surveillance, and smart city.… read more here.

Keywords: object tracking; based trajectory; multiple object; trajectory criteria ... See more keywords