Collaborative strategy for visual object tracking
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4633-x
Abstract: Adaptively learning the difference between object and background, discriminative trackers are able to overcome the complex background problem in visual object tracking. However, they are not robust enough to handle the out-of-plane rotation of object,… read more here.
Keywords: visual object; object tracking; tracker; part based ... See more keywords
Visual object tracking using similarity transformation and adaptive optical flow
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11344-7
Abstract: Visual object tracking is among the most attractive topics in various applications of vision system. Target objects’ appearance often drastically changes over time therefore Object tracking is challenging issue. In recent years, adaptive correlation filters… read more here.
Keywords: visual object; object tracking; similarity transformation; optical flow ... See more keywords
Visual object tracking using Fourier domain phase information
Sign Up to like & getrecommendations! Published in 2022 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-021-01968-5
Abstract: In this article, phase of the Fourier transform (FT), which has observed to be a crucial component in image representation, is utilized for visual target tracking. The main aim of the proposed scheme is to… read more here.
Keywords: visual object; object tracking; phase information; fourier domain ... See more keywords
The visual object tracking algorithm research based on adaptive combination kernel
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-01171-4
Abstract: In order to enhance the robustness to complicated changes of multiple objects and complex background scene, the visual object tracking algorithm based on Adaptive Combination Kernel has been proposed in the paper. The object tracking… read more here.
Keywords: visual object; object tracking; filter; combination kernel ... See more keywords
Explicitly exploiting hierarchical features in visual object tracking
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.038
Abstract: Abstract A common drawback of convolutional features based trackers is the incapability of distinguishing tracking targets from distractors, even in the presence of distinct color difference. In this paper, we design a robust hybrid tracker… read more here.
Keywords: visual object; hierarchical features; features visual; object tracking ... See more keywords
Navon’s classical paradigm concerning local and global processing relates systematically to visual object classification performance
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-18664-5
Abstract: Forty years ago David Navon tried to tackle a central problem in psychology concerning the time course of perceptual processing: Do we first see the details (local level) followed by the overall outlay (global level)… read more here.
Keywords: paradigm; visual object; processing; object classification ... See more keywords
Visual odometry particle filter for improving accuracy of visual object trackers
Sign Up to like & getrecommendations! Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2020.0374
Abstract: This Letter proposes a novel state estimator called the visual odometry particle filter (VOPF) for improving accuracy of visual object trackers. For the VOPF, a novel visual odometry motion model that is better than the… read more here.
Keywords: visual odometry; visual object; particle; object trackers ... See more keywords
Auditory and Semantic Cues Facilitate Decoding of Visual Object Category in MEG.
Sign Up to like & getrecommendations! Published in 2019 at "Cerebral cortex"
DOI: 10.1093/cercor/bhz110
Abstract: Sounds (e.g., barking) help us to visually identify objects (e.g., a dog) that are distant or ambiguous. While neuroimaging studies have revealed neuroanatomical sites of audiovisual interactions, little is known about the time course by… read more here.
Keywords: auditory semantic; visual object; semantic cues; cues facilitate ... 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
Visual Object Detector for Cow Sound Event Detection
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DOI: 10.1109/access.2020.3022058
Abstract: Sound event detection (SED) is a reasonable choice in a number of application domains including cattle sheds, dense forests, or any dark environments where visual objects are usually concealed or invisible. This study presents an… read more here.
Keywords: sound event; visual object; cow sound; event detection ... See more keywords
VOTA: A Heterogeneous Multicore Visual Object Tracking Accelerator Using Correlation Filters
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2022.3169946
Abstract: A correlation filter (CF) is a lighter and faster solution for visual object tracking (VOT) compared with a deep neural network (DNN). However, the CF-based trackers introduce diverse computational kernels and require FP16 computations. To… read more here.
Keywords: object tracking; visual object; accelerator; correlation ... See more keywords