Works matching DE "OBJECT tracking (Computer vision)"
Results: 1809
Workpiece tracking based on improved SiamFC++ and virtual dataset.
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- Multimedia Systems, 2023, v. 29, n. 6, p. 3639, doi. 10.1007/s00530-023-01185-9
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Structural local sparse and low-rank tracker using deep features.
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- Multimedia Systems, 2023, v. 29, n. 3, p. 1481, doi. 10.1007/s00530-023-01064-3
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Object tracking using fuzzy-based improved graph, interesting patches and multi-label MRF optimization.
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- Multimedia Systems, 2023, v. 29, n. 3, p. 1431, doi. 10.1007/s00530-023-01061-6
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Deblurring transformer tracking with conditional cross-attention.
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- Multimedia Systems, 2023, v. 29, n. 3, p. 1131, doi. 10.1007/s00530-022-01043-0
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Multi-view region proposal network predictive learning for tracking.
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- Multimedia Systems, 2023, v. 29, n. 1, p. 333, doi. 10.1007/s00530-022-01001-w
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Multi-cue multi-hypothesis tracking with re-identification for multi-object tracking.
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- Multimedia Systems, 2022, v. 28, n. 3, p. 925, doi. 10.1007/s00530-022-00895-w
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Incremental visual tracking via sparse discriminative classifier.
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- Multimedia Systems, 2021, v. 27, n. 2, p. 287, doi. 10.1007/s00530-020-00748-4
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Online multi-object tracking using KCF-based single-object tracker with occlusion analysis.
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- Multimedia Systems, 2020, v. 26, n. 6, p. 655, doi. 10.1007/s00530-020-00675-4
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Anti-distractors: two-branch siamese tracker with both static and dynamic filters for object tracking.
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- Multimedia Systems, 2020, v. 26, n. 6, p. 631, doi. 10.1007/s00530-020-00670-9
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Deep learning-based automatic downbeat tracking: a brief review.
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- Multimedia Systems, 2019, v. 25, n. 6, p. 617, doi. 10.1007/s00530-019-00607-x
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Structured fragment-based object tracking using discrimination, uniqueness, and validity selection.
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- Multimedia Systems, 2019, v. 25, n. 5, p. 487, doi. 10.1007/s00530-017-0556-7
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Multi-target tracking by non-linear motion patterns based on hierarchical network flows.
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- Multimedia Systems, 2019, v. 25, n. 4, p. 383, doi. 10.1007/s00530-019-00614-y
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Robust tracking with adaptive appearance learning and occlusion detection.
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- Multimedia Systems, 2016, v. 22, n. 2, p. 255, doi. 10.1007/s00530-015-0460-y
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Finding Mobility Pattern of Movable Target in Wireless Sensor Networks by Crowdsourcing Designed Mechanism.
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- Wireless Personal Communications, 2019, v. 109, n. 2, p. 963, doi. 10.1007/s11277-019-06599-1
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Performance Enhancement with Improved Security an Approach for Formulating RFID as an Itinerary in Promulgating Succour for Object Detection.
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- Wireless Personal Communications, 2019, v. 109, n. 2, p. 797, doi. 10.1007/s11277-019-06591-9
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An Optimize-Aware Target Tracking Method Combining MAC Layer and Active Nodes in Wireless Sensor Networks.
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- Wireless Personal Communications, 2019, v. 108, n. 2, p. 711, doi. 10.1007/s11277-019-06425-8
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A Competent Frame Work for Efficient Object Detection, Tracking and Classification.
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- Wireless Personal Communications, 2019, v. 107, n. 2, p. 939, doi. 10.1007/s11277-019-06310-4
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An IoT Based Secure Object Tracking System.
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- Wireless Personal Communications, 2019, v. 106, n. 3, p. 1209, doi. 10.1007/s11277-019-06210-7
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IoT Enabled RFID Authentication and Secure Object Tracking System for Smart Logistics.
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- Wireless Personal Communications, 2019, v. 104, n. 2, p. 543, doi. 10.1007/s11277-018-6033-6
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The Fusion of Adaptive Color Attributes for Robust Compressive Tracking.
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- Wireless Personal Communications, 2018, v. 102, n. 2, p. 879, doi. 10.1007/s11277-017-5111-5
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Object Tracking and Recognition Based on Reliability Assessment of Learning in Mobile Environments.
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- Wireless Personal Communications, 2017, v. 94, n. 2, p. 267, doi. 10.1007/s11277-016-3292-y
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IoTs Enable Active Contour Modeling Based Energy Efficient and Thermal Aware Object Tracking on FPGA.
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- Wireless Personal Communications, 2015, v. 85, n. 2, p. 529, doi. 10.1007/s11277-015-2753-z
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Implementation of moving object tracker system.
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- Journal of Engineering Sciences & Innovation (JESI), 2019, v. 4, n. 4, p. 427
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A survey: which features are required for dynamic visual simultaneous localization and mapping?
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- Visual Computing for Industry, Biomedicine & Art, 2021, v. 4, n. 1, p. 1, doi. 10.1186/s42492-021-00086-w
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Active Disturbance Rejection Control Based Sensorless Model Predictive Control for PMSM.
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- Journal Européen des Systèmes Automatisés, 2024, v. 57, n. 1, p. 117, doi. 10.18280/jesa.570112
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Wireless steerable vision for live insects and insect-scale robots.
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- Science Robotics, 2020, v. 5, n. 44, p. 1, doi. 10.1126/scirobotics.abb0839
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面向小目标检测的卫星视频跟踪算法.
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- Journal of Remote Sensing, 2024, v. 28, n. 7, p. 1812, doi. 10.11834/jrs.20232098
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Object Tracking Using Computer Vision: A Review.
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- Computers (2073-431X), 2024, v. 13, n. 6, p. 136, doi. 10.3390/computers13060136
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6DoF Object Tracking based on 3D Scans for Augmented Reality Remote Live Support.
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- Computers (2073-431X), 2018, v. 7, n. 1, p. 6, doi. 10.3390/computers7010006
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水下传感器网络目标跟踪时的非短视比特优化分配算法.
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- Telecommunication Engineering, 2023, v. 63, n. 7, p. 1049, doi. 10.20079/j.issn.1001-893x.220210010
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采用分裂Bregman 的空间邻近目标红外超分辨算法.
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- Telecommunication Engineering, 2020, v. 60, n. 7, p. 778, doi. 10.3969/j.issn.1001-893x.2020.07.007
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Estimation of Water Surface Flow Velocity in Coastal Video Imagery by Visual Tracking with Deep Learning.
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- Journal of Coastal Research, 2020, v. 95, p. 522, doi. 10.2112/SI95-101.1
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Deep features fusion for KCF-based moving object tracking.
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- Journal of Big Data, 2023, v. 10, n. 1, p. 1, doi. 10.1186/s40537-023-00813-5
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Design, development and performance analysis of cognitive assisting aid with multi sensor fused navigation for visually impaired people.
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- Journal of Big Data, 2023, v. 10, n. 1, p. 1, doi. 10.1186/s40537-023-00689-5
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WPŁYW NIEUŚWIADOMIONEJ EKSPOZYCJI ZWIĄZKU NIEZGODNEGO BODŹCÓW WZROKOWYCH I WĘCHOWYCH NA ZASOBY UWAGI.
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- Ogrody Nauk i Sztuk, 2019, n. 9, p. 364, doi. 10.15503/onis2019.364.373
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A RESEARCH OF THE LATEST APPROACHES TO VISUAL IMAGE RECOGNITION AND CLASSIFICATION.
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- Radio Electronics, Computer Science, Control, 2024, n. 1, p. 140, doi. 10.15588/1607-3274-2024-1-13
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Monitoring and Analysis of Agricultural Field Parameters in Order to Increase Crop Yield through a Colored Object Tracking Robot, Image Processing, and IOT.
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- Engineering, Technology & Applied Science Research, 2022, v. 12, n. 4, p. 8791, doi. 10.48084/etasr.5028
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Kidney tracking for live augmented reality in stereoscopic mini-invasive partial nephrectomy.
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- Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation, 2023, v. 11, n. 4, p. 1251, doi. 10.1080/21681163.2022.2157750
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A cloud-oriented siamese network object tracking algorithm with attention network and adaptive loss function.
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- Journal of Cloud Computing (2192-113X), 2023, v. 12, n. 1, p. 1, doi. 10.1186/s13677-023-00439-1
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REALTIME TRACKING IN PROJECTION MAPPING.
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- SCIRES-IT, 2017, v. 7, n. 2, p. 27, doi. 10.2423/i22394303v7n2p27
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Enhanced Multi-Object Detection via the Integration of PSO, Kalman Filtering, and CNN Compressive Sensing.
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- International Journal of Advanced Computer Science & Applications, 2023, v. 14, n. 12, p. 727, doi. 10.14569/ijacsa.2023.0141275
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Enhancing Underwater Object Recognition Through the Synergy of Transformer and Feature Enhancement Techniques.
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- International Journal of Advanced Computer Science & Applications, 2023, v. 14, n. 12, p. 477, doi. 10.14569/ijacsa.2023.0141250
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- Article
Implementation of a Convolutional Neural Network (CNN)-based Object Detection Approach for Smart Surveillance Applications.
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- International Journal of Advanced Computer Science & Applications, 2023, v. 14, n. 12, p. 154, doi. 10.14569/ijacsa.2023.0141215
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A Particle Filter Based Visual Object Tracking: A Systematic Review of Current Trends and Research Challenges.
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- International Journal of Advanced Computer Science & Applications, 2023, v. 14, n. 11, p. 1291, doi. 10.14569/ijacsa.2023.01411131
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Smart Virtual Painter.
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- International Journal of Next-Generation Computing, 2021, v. 12, n. 5, p. 747
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Learning an anchor-free network with angle attention for remote sensing object detection.
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- Remote Sensing Letters, 2023, v. 14, n. 9, p. 936, doi. 10.1080/2150704X.2023.2251184
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Detection of rapidly developing convection using rapid scan data from a geostationary satellite.
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- Remote Sensing Letters, 2015, v. 6, n. 8, p. 604, doi. 10.1080/2150704X.2015.1062160
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MU R-CNN: A Two-Dimensional Code Instance Segmentation Network Based on Deep Learning.
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- Future Internet, 2019, v. 11, n. 9, p. 197, doi. 10.3390/fi11090197
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Object Tracking for Uncrewed Surface Vehicles.
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- Journal of Ocean Technology, 2024, v. 19, n. 2, p. 104
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Drowning in Data: How Artificial Intelligence Could Throw us a Life Ring.
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- Journal of Ocean Technology, 2021, v. 16, n. 3, p. 10
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