Results 1 to 10 of about 21,722 (94)
Agile human activity recognition for wearable devices based on online incremental learning [PDF]
BackgroundAchieving high-precision, low-latency, and continuously adaptive human activity recognition on resource-constrained edge devices represents a core challenge.
Lulu Fan +6 more
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Online Extrinsic Calibration of Camera and LiDAR Based on Cascade Optimization [PDF]
Accurate and stable extrinsic calibration is the foundation of high-quality fusion sensing and positioning of camera and Light Detection and Ranging (LiDAR).
Chuanxun Hou +4 more
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Gradient-based sparse principal component analysis with extensions to online learning
Summary Sparse principal component analysis is an important technique for simultaneous dimensionality reduction and variable selection with high-dimensional data. In this work we combine the unique geometric structure of the sparse principal component analysis problem with recent advances in convex optimization to develop novel gradient ...
Yixuan Qiu, Jing Lei, Kathryn Roeder
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Online Tensor Robust Principal Component Analysis
Online robust principal component analysis (RPCA) algorithms recursively decompose incoming data into low-rank and sparse components. However, they operate on data vectors and cannot directly be applied to higher-order data arrays (e.g. video frames). In
Mohammad M. Salut, David V. Anderson
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Saliency-Aided Online RPCA for Moving Target Detection in Infrared Maritime Scenarios
Moving target detection (MTD) is a crucial task in computer vision applications. In this paper, we investigate the problem of detecting moving targets in infrared (IR) surveillance video sequences captured using a steady camera in a maritime setting. For
Osvaldo Pulpito +5 more
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Object Tracking Algorithm with Sparse Prototype Based on TLD [PDF]
Tracking-learning-detecting(TLD) object tracking algorithm can achieve a long time online tracking.But when the appearance changes of the object by the plane rotation and the object is occluded,the TLD tracking algorithm tracks drift in the process of ...
ZHOU Junna,CHEN Wei,WANG Ke,CAI Changzheng
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In this paper, we propose an adaptive Gaussian incremental expectation stadium parameter estimation algorithm for sports video analysis and prediction through the study and analysis of sports videos.
Lizhi Geng
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Visual object tracking is a fundamental research area in the field of computer vision and pattern recognition because it can be utilized by various intelligent systems.
Gang-Joon Yoon +2 more
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In the context of video background–foreground separation, we propose a compressive online Robust Principal Component Analysis (RPCA) with optical flow that separates recursively a sequence of video frames into foreground (sparse) and background ...
Srivatsa Prativadibhayankaram +3 more
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Meta-modeling of a simulation chain for urban air quality
Urban air quality simulation is an important tool to understand the impacts of air pollution. However, the simulations are often computationally expensive, and require extensive data on pollutant sources.
J. K. Hammond, R. Chen, V. Mallet
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