Articles with "spatiotemporal feature" as a keyword



Multi-Object Tracking Algorithm for Unmanned Vehicle Autonomous Driving Scene Based on Online Spatiotemporal Feature Correlation

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Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3439702

Abstract: Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned vehicle autonomous driving, a multi-object tracking algorithm based… read more here.

Keywords: feature model; algorithm; multi object; spatiotemporal feature ... See more keywords

A Sparse-Based Transformer Network With Associated Spatiotemporal Feature for Micro-Expression Recognition

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Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3211200

Abstract: Despite a lot of work in excavating the emotion descriptor from the hidden information, learning an effective spatiotemporal feature is a challenging issue for micro-expression recognition due to the fact that the micro-expression has a… read more here.

Keywords: micro expression; spatiotemporal feature; feature; expression recognition ... See more keywords

Spatiotemporal Feature Fusion for Video Summarization

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Published in 2024 at "IEEE MultiMedia"

DOI: 10.1109/mmul.2024.3428933

Abstract: Video summarization (VS) is crucial process for compacting video content into a concise and informative representation, enhancing accessibility and the user experience. This work introduces a new approach based on spatiotemporal features derived from long… read more here.

Keywords: video summarization; video; fusion video; feature fusion ... See more keywords

Spatiotemporal Feature Hierarchy-Based Blind Prediction of Natural Video Quality via Transfer Learning

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Published in 2023 at "IEEE Transactions on Broadcasting"

DOI: 10.1109/tbc.2022.3192997

Abstract: In this paper, we propose a pyramidal spatiotemporal feature hierarchy (PSFH)-based no-reference (NR) video quality assessment (VQA) method using transfer learning. First, we generate simulated videos by a generative adversarial network (GAN)-based image restoration model.… read more here.

Keywords: quality; feature hierarchy; feature; video quality ... See more keywords

Spatiotemporal Feature Integration and Model Fusion for Full Reference Video Quality Assessment

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Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2018.2868262

Abstract: The recently developed video multi-method assessment fusion (VMAF) framework integrates multiple quality-aware features to accurately predict the video quality. However, the VMAF does not yet exploit important principles of temporal perception that are relevant to… read more here.

Keywords: video; quality; fusion; spatiotemporal feature ... See more keywords
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Small Low-Contrast Target Detection: Data-Driven Spatiotemporal Feature Fusion and Implementation.

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Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3072311

Abstract: Detecting small low-contrast targets in the airspace is an essential and challenging task. This article proposes a simple and effective data-driven support vector machine (SVM)-based spatiotemporal feature fusion detection method for small low-contrast targets. We… read more here.

Keywords: low contrast; feature; feature fusion; spatiotemporal feature ... See more keywords

Phase-based Structural Vibration Frequency Measurement with Spatiotemporal Feature Enhancement

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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3619660

Abstract: The phase-based method has garnered significant attention due to its high sensitivity in measuring microvibrations of civil structures from video. However, the sensor noise can cause spurious phase variations, obscuring valid vibration signals and reducing… read more here.

Keywords: structural vibration; phase based; spatiotemporal feature; vibration ... See more keywords

STARNet: An Efficient Spatiotemporal Feature Sharing Reconstructing Network for Automatic Modulation Classification

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Published in 2024 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2024.3400754

Abstract: Automatic Modulation Classification (AMC) is a crucial task in the field of wireless communication, allowing for the identification of the modulation scheme of a received radio signal without prior knowledge of the communication system. Recently,… read more here.

Keywords: automatic modulation; modulation classification; spatiotemporal feature; feature ... See more keywords

Spatiotemporal feature learning for actin dynamics

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Published in 2025 at "PLOS One"

DOI: 10.1371/journal.pone.0318036

Abstract: The social amoeba Dictyostelium discoideum is a standard model system for studying cell motility and formation of biological patterns. D. discoideum cells form protrusions and migrate via cytoskeletal reorganization driven by coordinated waves of actin… read more here.

Keywords: feature learning; learning actin; topography; type ... See more keywords

Spatiotemporal Feature Learning for Daily-Life Cough Detection Using FMCW Radar

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Published in 2025 at "Bioengineering"

DOI: 10.3390/bioengineering12101112

Abstract: Cough is a key symptom reflecting respiratory health, with its frequency and pattern providing valuable insights into disease progression and clinical management. Objective and reliable cough detection systems are therefore of broad significance for healthcare… read more here.

Keywords: radar; cough detection; spatiotemporal feature; fmcw radar ... See more keywords