Robust Visual Tracking via Incremental Subspace Learning and Local Sparse Representation
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-017-2734-5
Abstract: Single target tracking is an important part of computer vision, and its robustness is always restricted by target occlusion, illumination change, target pose change and so far. To deal with this problem, this paper proposed… read more here.
Keywords: local sparse; sparse representation; robust visual; target ... See more keywords
Adapting Dynamic Appearance for Robust Visual Tracking
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2743108
Abstract: This paper designs a robust discriminative tracking method based on correlation filter and key point matching, the highlight of which is the ability to adapt appearance changes. Toward the complicated and changeable real-world scene, a… read more here.
Keywords: key point; appearance robust; appearance; adapting dynamic ... See more keywords
Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
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
Robust Visual Tracking via Multiple Experts With Correlation Filters
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930460
Abstract: As one of the key components in many computer vision applications, visual tracking has been widely investigated in recent years. Correlation filter-based trackers have achieved compelling performance in terms of both efficiency and accuracy by… read more here.
Keywords: visual tracking; tracking; search region; tracking via ... See more keywords
Robust Visual Tracking via Multilayer CaffeNet Features and Improved Correlation Filtering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2957518
Abstract: For problems related to the robust tracking of visual objects in various challenging tracking conditions, a robust visual tracking method based on multilayer convolutional features and correlation filtering is proposed. To solve the problems of… read more here.
Keywords: visual tracking; tracking via; robust visual; correlation filtering ... See more keywords
Robust Visual Object Tracking With Multiple Features and Reliable Re-Detection Scheme
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997072
Abstract: In recent years, correlation filter based trackers have seen widespread success because of their high efficiency and robustness. However, a single feature based tracker cannot deal with complex scenes such as serious occlusion, motion blur… read more here.
Keywords: scheme; visual object; robust visual; feature ... See more keywords
Robust Visual Tracking Based on a Modified Flower Pollination Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3130340
Abstract: In this study, a target tracking algorithm based on the flower pollination algorithm (FPA) is proposed. This method solves the problem of robust visual target tracking in different complex tracking scenes with the good global… read more here.
Keywords: flower pollination; robust visual; pollination algorithm; algorithm ... See more keywords
Deep Siamese Cross-Residual Learning for Robust Visual Tracking
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3041052
Abstract: The sixth-generation (6G) wireless technology contributes to the establishment of the Internet of Things (IoT). Recently, the IoT has become popular because of its smart architectures and various applications. Among these applications, intelligent urban surveillance… read more here.
Keywords: visual tracking; cross residual; siamese cross; residual learning ... See more keywords
Robust Visual Tracking Using Exemplar-Based Detectors
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2015.2513700
Abstract: Tracking by detection has become an attractive tracking technique, which treats tracking as an object detection problem and trains a detector to separate the target object from the background in each frame. While this strategy… read more here.
Keywords: using exemplar; exemplar based; visual tracking; tracking using ... See more keywords
A Robust Visual System for Looming Cue Detection Against Translating Motion.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3149832
Abstract: Collision detection is critical for autonomous vehicles or robots to serve human society safely. Detecting looming objects robustly and timely plays an important role in collision avoidance systems. The locust lobula giant movement detector (LGMD1)… read more here.
Keywords: collision; motion; detection; robust visual ... See more keywords
Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.2.023008
Abstract: Abstract. Object tracking is still a challenging problem in computer vision, as it entails learning an effective model to account for appearance changes caused by occlusion, out of view, plane rotation, scale change, and background… read more here.
Keywords: visual tracking; deep convolutional; target; convolutional neural ... See more keywords