Object detection and tracking benchmark in industry based on improved correlation filter
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6079-1
Abstract: Real-time object detection and tracking have shown to be the basis of intelligent production for industrial 4.0 applications. It is a challenging task because of various distorted data in complex industrial setting. The correlation filter… read more here.
Keywords: correlation; detection tracking; object detection; correlation filter ... See more keywords
Dual-template adaptive correlation filter for real-time object tracking
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09644-5
Abstract: Visual object tracking is a hot topic in the field of computer vision. The drift of the tracking box or loss of the tracking target often occurs for existing correlation filter based trackers when the… read more here.
Keywords: correlation filter; real time; object tracking;
Learning correlation filter with fused feature and reliable response for real-time tracking
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-022-01195-2
Abstract: Object tracking is a key component of machine vision system and getting much attention in different walk of life. Recently, correlation filters have been successfully applied to visual tracking. However, how to design effective features… read more here.
Keywords: correlation; response; real time; fused feature ... See more keywords
A novel real-time object tracking based on kernelized correlation filter with self-adaptive scale computation in combination with color attribution
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-01872-9
Abstract: Recently, object tracking model based on correlation filter has achieved great success. However, most of these methods relying on correlation filter train many classifiers individually, and fail to cope with significant appearance and scale change… read more here.
Keywords: correlation filter; object; object tracking; scale ... See more keywords
Temporally-adjusted correlation filter-based tracking
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.01.067
Abstract: Abstract Recently, discriminative correlation filter (DCF) has been wildly studied and adopted in visual object tracking task. Since the convolution operation can be efficiently computed through fast Fourier transform (FFT), DCF trackers achieve the outstanding… read more here.
Keywords: adjusted correlation; correlation filter; correlation; temporally adjusted ... See more keywords
Kernel correlation filters for visual tracking with adaptive fusion of heterogeneous cues
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DOI: 10.1016/j.neucom.2018.01.068
Abstract: Abstract Although the correlation filter-based trackers have achieved competitive results both on accuracy and robustness, the performance of trackers can still be improved because the most existing trackers either use a fixed scale or a… read more here.
Keywords: heterogeneous cues; target; filter based; correlation ... See more keywords
Gaussian-response correlation filter for robust visual object tracking
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DOI: 10.1016/j.neucom.2020.06.016
Abstract: Abstract This paper presents a novel correlation filter-based tracking method for robust visual object tracking in the presence of partial occlusion, large-scale variation and model drift. To do this, first, we develop a correlation filter… read more here.
Keywords: response; object tracking; target; correlation ... See more keywords
Robust kernelised correlation filter tracking with least absolute deviations regression
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2017.2147
Abstract: Kernelised correlation filter (KCF) has demonstrated its superior performance in visual tracking. The strength of the approach stems from its ability to efficiently learn the object appearance variations over time. A fundamental drawback to KCF,… read more here.
Keywords: regression; deviations regression; correlation filter; least absolute ... See more keywords
Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter
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DOI: 10.1109/access.2018.2888556
Abstract: In recent years, correlation filter (CF)-based tracking methods have demonstrated competitive performance. However, conventional CF-based methods suffer from unwanted boundary effects because of the periodic assumption of the training and detection samples. A spatially regularized… read more here.
Keywords: visual tracking; correlation filter; extraction enhancement; robust visual ... See more keywords
An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking
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DOI: 10.1109/access.2019.2942047
Abstract: In recent years, correlation filter (CF) based tracking methods have attracted more attention due to its low computational complexity and excellent performance. Most CF based tracking methods adopt CNN features of multiple layers to train… read more here.
Keywords: correlation filter; multi features; adaptive multi; features aware ... See more keywords
TGMCF: A Tree-Guided Multi-Modality Correlation Filter for Visual Tracking
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2943917
Abstract: For updating the tracking models, most existing approaches have an assumption that the target changes smoothly over time. Despite their success in some cases, these approaches struggle in dealing with occlusion, illumination changes and abrupt… read more here.
Keywords: visual tracking; correlation filter; tree guided; target ... See more keywords