Articles with "tracking detection" as a keyword



Improving Needle Tip Tracking and Detection in Ultrasound-Based Navigation System Using Deep Learning-Enabled Approach

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Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3353343

Abstract: Ultrasound-guided percutaneous interventions have numerous advantages over traditional techniques. Accurate needle placement in the target anatomy is crucial for successful intervention, and reliable visual information is essential to achieve this. However, previous studies have revealed… read more here.

Keywords: tracking detection; system; navigation; tip ... See more keywords

Efficient 3-D Tracking and Detection of Multirotor UAVs Using mmWave Radar With Semi-Supervised Learning

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Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3562322

Abstract: Small uncrewed aerial vehicles (UAVs) pose security risks to sensitive areas and individuals due to their rapid movement and wide coverage capabilities. Effective monitoring necessitates the deployment of lightweight and energy-efficient surveillance systems. This research… read more here.

Keywords: detection; tracking detection; detection multirotor; semi supervised ... See more keywords

3-D Refuse-Derived Fuel Particle Tracking-by-Detection Using a Plenoptic Camera System

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3217858

Abstract: Multiple-particle tracking-by-detection is a widely investigated issue in image processing. This article presents approaches to detecting and tracking various refuse-derived fuel particles in an industrial environment using a plenoptic camera system, which is able to… read more here.

Keywords: system; refuse derived; tracking detection; detection ... See more keywords

Deformable Object Tracking With Gated Fusion

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Published in 2019 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2019.2902784

Abstract: The tracking-by-detection framework receives growing attention through the integration with the convolutional neural networks (CNNs). Existing tracking-by-detection-based methods, however, fail to track objects with severe appearance variations. This is because the traditional convolutional operation is… read more here.

Keywords: appearance; deformable convolution; tracking detection; gated fusion ... See more keywords

Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown

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Published in 2024 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2025.3592524

Abstract: Multi-object tracking (MOT) emerges as a pivotal and highly promising branch in the field of computer vision. Classical closed-vocabulary MOT (CV-MOT) methods aim to track objects of predefined categories. Recently, some open-vocabulary MOT (OV-MOT) methods… read more here.

Keywords: tracking detection; mot methods; mot; mot mot ... See more keywords

Integration Between Cascade Region-Based Convolutional Neural Network and Bi-Directional Feature Pyramid Network for Live Object Tracking and Detection

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Published in 2021 at "Traitement du Signal"

DOI: 10.18280/ts.380437

Abstract: The current target tracking and detection algorithms often have mistakes and omissions when the target is occluded or small. To overcome the defects, this paper integrates bi-directional feature pyramid network (BiFPN) into cascade region-based convolutional… read more here.

Keywords: detection; network; live object; object tracking ... See more keywords

Fast Face Tracking-by-Detection Algorithm for Secure Monitoring

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Published in 2019 at "Applied Sciences"

DOI: 10.3390/app9183774

Abstract: This work proposes a fast face tracking-by-detection (FFTD) algorithm that can perform tracking, face detection and discrimination tasks. On the basis of using the kernelized correlation filter (KCF) as the basic tracker, multitask cascade convolutional… read more here.

Keywords: detection; fast face; face tracking; monitoring ... See more keywords