Results 11 to 20 of about 476,574 (303)
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking [PDF]
International Conference on Image and Graphics, 2021 (Discriminative) Correlation Filter has been successfully applied to visual tracking and has advanced the field significantly in recent years. Correlation filter-based trackers consider visual tracking as a problem of matching the feature template of the object and candidate regions in the detection sample, in which correlation filter provides the ...
Shuiwang Li +3 more
openaire +3 more sources
Fast and Robust Object Tracking Using Tracking Failure Detection in Kernelized Correlation Filter
Applied Sciences, 2020 Object tracking has long been an active research topic in image processing and computer vision fields with various application areas. For practical applications, the object tracking technique should be not only accurate but also fast in a real-time ...
Jungsup Shin +3 more
doaj +2 more sources
Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label [PDF]
IEEE International Conference on Robotics and Automation, 2021 Unmanned aerial vehicle (UAV) based visual tracking has been confronted with numerous challenges, e.g., object motion and occlusion. These challenges generally introduce unexpected mutations of target appearance and result in tracking failure.
Guang-Zheng Zheng +4 more
semanticscholar +1 more source
Sparse Regularized Correlation Filter for UAV Object Tracking with adaptive Contextual Learning and Keyfilter Selection [PDF]
Information Sciences, 2022 Recently, correlation filter has been widely applied in unmanned aerial vehicle (UAV) tracking due to its high frame rates, robustness and low calculation resources.
Zhangjian Ji +3 more
semanticscholar +1 more source
Correlation Tracking via Spatial-Temporal Constraints and Structured Sparse Regularization
IEEE Access, 2021 Discriminative correlation filter (DCF) has achieved promising performance in visual tracking for its high efficiency and high accuracy. However, DCF trackers usually suffer from some challenges, such as boundary effects and appearance changes.
Dan Tian, Shouyu Zang, Binbin Tu
doaj +1 more source
End-to-End Representation Learning for Correlation Filter Based Tracking [PDF]
Computer Vision and Pattern Recognition, 2017 The Correlation Filter is an algorithm that trains a linear template to discriminate between images and their translations. It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector
Jack Valmadre +4 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2022 Hyperspectral video camera captures spatial, spectral, and temporal information of moving objects. Traditional object tracking methods developed for color videos have been applied to hyperspectral videos after compressing hundreds of spectral bands into ...
Z. Hou, Wei Li, Jun Zhou, Ran Tao
semanticscholar +1 more source
Shallow Layer Convolutional Features with Correlation Filters for UAV Object Tracking
Journal of Telecommunications and Information Technology, 2022 In this paper, convolutional shallow features are proposed for unmanned aerial vehicle (UAV) tracking. These convolutional shallow features are generated by pre-trained convolutional neural networks (CNN) and are used to represent the target objects ...
Budi Syihabuddin +3 more
doaj +1 more source
Correlation filters with limited boundaries [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 8 pages, 6 figures, 2 ...
Hamed Kiani Galoogahi +2 more
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Latent Constrained Correlation Filter [PDF]
IEEE Transactions on Image Processing, 2018 Correlation filters are special classifiers designed for shift-invariant object recognition, which are robust to pattern distortions. The recent literature shows that combining a set of sub-filters trained based on a single or a small group of images obtains the best performance.
Baochang Zhang 0001 +6 more
openaire +6 more sources