Real-Time Tracking Framework with Adaptive Features and Constrained Labels
Sensors, 2016 This paper proposes a novel tracking framework with adaptive features and constrained labels (AFCL) to handle illumination variation, occlusion and appearance changes caused by the variation of positions.
Daqun Li +4 more
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Analytical Model and Feedback Predictor Optimization for Combined Early-HARQ and HARQ
Mathematics, 2021 In order to fulfill the stringent Ultra-Reliable Low Latency Communication (URLLC) requirements towards Fifth Generation (5G) mobile networks, early-Hybrid Automatic Repeat reQuest (e-HARQ) schemes have been introduced, aimed at providing faster feedback
Tatiana Rykova +4 more
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Sparse Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection
Remote Sensing, 2017 Target detection is an important task for remote sensing images, while it is still difficult to obtain satisfied performance when some images possess complex and confusion spectrum information, for example, the high similarity between target and ...
Ying Wang, Miao Fan, Jie Li, Zhaobin Cui
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Adaptive and Complementary Correlation Filter With Dynamic Contextual Constraints
IEEE Access, 2020 Correlation filter-based trackers have gained more and more attention because of their great performances and relative high tracking speeds. However, this kind of trackers may suffer model drifting due to learning limited background information during ...
Fan Wu +4 more
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FusionRCNN: LiDAR-Camera Fusion for Two-Stage 3D Object Detection
Remote Sensing, 2023 Accurate and reliable perception systems are essential for autonomous driving and robotics. To achieve this, 3D object detection with multi-sensors is necessary.
Xinli Xu +7 more
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Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder
Sensors, 2016 During the process of moving object detection in an intelligent visual surveillance system, a scenario with complex background is sure to appear. The traditional methods, such as “frame difference” and “optical flow”, may not able to deal with the ...
Shuoyang Chen +4 more
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Random Positional Deviations Correction for Each LED via ePIE in Fourier Ptychographic Microscopy
IEEE Access, 2018 Fourier ptychography microscopy (FPM) is a lately developed technique, which achieves wide field, high resolution, and phase imaging, simultaneously. FPM stitches together the captured low-resolution images corresponding to angular varying illuminations ...
Sining Chen +4 more
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Seismic Data Augmentation Based on Conditional Generative Adversarial Networks
Sensors, 2020 Realistic synthetic data can be useful for data augmentation when training deep learning models to improve seismological detection and classification performance.
Yuanming Li +4 more
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Sensors, 2023 Beamspace MIMO-NOMA is an effective way to improve spectral efficiency. This paper focuses on a downlink non-orthogonal multiple access (NOMA) transmission scheme for a beamspace multiple-input multiple-output (MIMO) system.
Yongfei Liu +4 more
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Coarse-to-Fine Adaptive People Detection for Video Sequences by Maximizing Mutual Information †
Sensors, 2018 Applying people detectors to unseen data is challenging since patterns distributions, such as viewpoints, motion, poses, backgrounds, occlusions and people sizes, may significantly differ from the ones of the training dataset. In this paper, we propose a
Álvaro García-Martín +2 more
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