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Journal ArticleDOI

Effective template update mechanism in visual tracking with background clutter

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TLDR
This paper proposes a template update mechanism to improve the accuracy of visual tracking and shows that the proposed mechanism has improved accuracy and success rate of the two baseline algorithms and in state-of-the-art algorithms.
About
This article is published in Neurocomputing.The article was published on 2021-10-11. It has received 137 citations till now. The article focuses on the topics: Video tracking & Clutter.

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Citations
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Journal ArticleDOI

Accurate Key Frame Extraction Algorithm of Video Action for Aerobics Online Teaching

TL;DR: Experimental results show that the algorithm can effectively extract the key frames of aerobics video action, the fidelity of the extracted key frames is higher than 0.9, and the precision and recall are both higher than 99%.
Journal ArticleDOI

Evaluation Method of Online and Offline Hybrid Teaching Quality of Physical Education Based on Mobile Edge Computing

TL;DR: Simulation results show that the proposed method can effectively reduce the cost and error of quality evaluation for hybrid teaching online and offline, improve the evaluation efficiency, and enhance the quality of Online and offline hybrid teaching.
Journal ArticleDOI

Serious Games in Science Education. A Systematic Literature Review

TL;DR: This paper conducted a systematic literature review on serious games for science education to reveal research trends and patterns, and discussed the role of Virtual Reality (VR), AI, and Augmented Reality (AR) games in teaching science subjects like physics.
Journal ArticleDOI

Optimal speed–torque control of doubly-fed induction motors: Analytical and graphical analysis

TL;DR: An optimized control approach of a Doubly-Fed Induction Motor based on a field weakening algorithm ensures a nearly doubled torque–speed operation region in the motor’s acceleration and deceleration operation modes.
References
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Journal ArticleDOI

Kernel-based object tracking

TL;DR: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed, which employs a metric derived from the Bhattacharyya coefficient as similarity measure, and uses the mean shift procedure to perform the optimization.
Journal ArticleDOI

High-Speed Tracking with Kernelized Correlation Filters

TL;DR: A new kernelized correlation filter is derived, that unlike other kernel algorithms has the exact same complexity as its linear counterpart, which is called dual correlation filter (DCF), which outperform top-ranking trackers such as Struck or TLD on a 50 videos benchmark, despite being implemented in a few lines of code.
Journal ArticleDOI

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

TL;DR: A first-order primal-dual algorithm for non-smooth convex optimization problems with known saddle-point structure can achieve O(1/N2) convergence on problems, where the primal or the dual objective is uniformly convex, and it can show linear convergence, i.e. O(ωN) for some ω∈(0,1), on smooth problems.
Book

Computer Vision: Algorithms and Applications

TL;DR: Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images and takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene.
Proceedings ArticleDOI

Online Object Tracking: A Benchmark

TL;DR: Large scale experiments are carried out with various evaluation criteria to identify effective approaches for robust tracking and provide potential future research directions in this field.
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