Hyper-parameter optimization tools comparison for multiple object tracking applications
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DOI: 10.1007/s00138-018-0984-1
Abstract: Commonly, an algorithm needs a certain number of variables that control its behavior. The optimal values result in a better performance that could generate profits for companies, make the algorithm stands out from similar applications… read more here.
Keywords: multiple object; hyper parameter; object tracking; parameter optimization ... See more keywords
Real-time multiple object tracking using deep learning methods
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DOI: 10.1007/s00521-021-06391-y
Abstract: Multiple-object tracking is a fundamental computer vision task which is gaining increasing attention due to its academic and commercial potential. Multiple-object detection, recognition and tracking are quite desired in many domains and applications. However, accurate… read more here.
Keywords: real time; time multiple; object tracking; deep sort ... See more keywords
Global-patch-hybrid template-based arbitrary object tracking with integral channel features
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DOI: 10.1007/s10489-017-0974-4
Abstract: Arbitrary object tracking is a challenging task in computer vision, as many factors affecting the target representation must be considered. A target template based on only the global appearance or on only the local appearance… read more here.
Keywords: template; template based; object tracking; integral channel ... See more keywords
End-to-end multitask Siamese network with residual hierarchical attention for real-time object tracking
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DOI: 10.1007/s10489-019-01605-2
Abstract: Object tracking with deep networks has recently achieved substantial improvement in terms of tracking performance. In this paper, we propose a multitask Siamese neural network that uses a residual hierarchical attention mechanism to achieve high-performance… read more here.
Keywords: network; hierarchical attention; real time; residual hierarchical ... See more keywords
Online multi-object tracking using multi-function integration and tracking simulation training
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DOI: 10.1007/s10489-021-02457-5
Abstract: Recently, with the development of deep-learning, the performance of multi-object tracking algorithms based on deep neural networks has been greatly improved. However, most methods separate different functional modules into multiple networks and train them independently… read more here.
Keywords: online multi; object tracking; appearance features; multi object ... See more keywords
Collaborative strategy for visual object tracking
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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
Single object tracking using particle filter framework and saliency-based weighted color histogram
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DOI: 10.1007/s11042-018-6180-5
Abstract: Despite many years of research, object tracking remains a challenging problem, not only because of the variety of object appearances, but also because of the complexity of surrounding environments. In this research, we present an… read more here.
Keywords: color; saliency; single object; tracking using ... See more keywords
Object tracking method based on particle filter of adaptive patches combined with multi-features fusion
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DOI: 10.1007/s11042-018-6382-x
Abstract: Object tracking has been one of the most important and active research areas in the field of computer vision. In this paper, we address the problem of object tracking under complex conditions in a video,… read more here.
Keywords: based particle; tracking method; method based; patch ... See more keywords
Dual-template adaptive correlation filter for real-time object tracking
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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;
Visual object tracking using similarity transformation and adaptive optical flow
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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
Structural Constraint Data Association for Online Multi-object Tracking
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DOI: 10.1007/s11263-018-1087-1
Abstract: Online two-dimensional (2D) multi-object tracking (MOT) is a challenging task when the objects of interest have similar appearances. In that case, the motion of objects is another helpful cue for tracking and discriminating multiple objects.… read more here.
Keywords: motion; data association; object tracking; camera ... See more keywords