Correlation-Based Tracker-Level Fusion for Robust Visual Tracking
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Cites methods from "Correlation-Based Tracker-Level Fus..."
...[22] proposed a robust tracking algorithm by efficiently fusing tracking, learning, and detection with the systematic model update strategy of kernelized correlation filter tracker....
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...e lost. GDN detects the target if LDN fails to track. It employs Region Proposal Network (RPN) a›er conv4-3. LDN is updated to integrate target variations while GDN parameters are •xed. Rapuru et al. [133] proposed Correlation based Tracker level Fusion (CTF) by integrating two complementary trackers, Tracking-Learning-Detection (TLD) [80] and KCF. TLD tracker has resumption ability and is composed of ...
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...e performed as Pixel-Level Fusion (PLF), Feature-Level Fusion (FLF), and Decision-Level Fusion (DLF) as shown in Fig. 8. Numerous trackers using di‡erent types of fusion have been developed including [10, 112, 117, 133, 152]. Luo et al. [112] used SAMF as a baseline tracker and performed those fusions. Authors used visual and infrared images for PLF, HOG, grey while colorname features are used for FLF. Ma et al. [117] pr...
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...[123] SANet[46] BranchOut[65] BIT [18] ADNet[178] DRLT [183] Obli-Raf[186] DeepTrack[98] SDLSSVM [124] DRT [53] TSN [146] Siamese-Based Trackers Part-Based Trackers >µ}[[112] D[ííó tvP[ [152]CTF [133] ][íì Fusion-Based Trackers Correlation Filter Trackers Non-Correlation Filter Trackers Fig. 1. Taxonomy of tracking algorithms. Some relatively limited or focused reviews include the following wor...
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11 citations
Cites background from "Correlation-Based Tracker-Level Fus..."
...Numerous trackers using different types of fusion have been developed including [120], [121], [122], [123], [124]....
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...Trackers Luo’ [120] Ma’ [123] Wang’ [121] CTF [122] Bai’ [124] Fusion-Based...
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...[122] proposed Correlation based Tracker level Fusion (CTF) by integrating two complementary trackers,...
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...Rapuru et al. [122] proposed Correlation based Tracker level Fusion (CTF) by integrating two complementary trackers, Tracking-Learning-Detection (TLD) [125] and KCF. TLD tracker has resumption ability and is composed of three basic units, tracking to predict the new target position; target localization in current frame; rectifying the detector error by learning different target variations....
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References
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"Correlation-Based Tracker-Level Fus..." refers methods in this paper
...2) Performance Analysis: The proposed Correlation based Tracker level Fusion (CTF) was compared with best trackers of VOT2015 challenge such as MDNet [32], MUSTer [33], TGPR [34], DeepSRDCF [35], STR, CT, IVT, NCC, STC, CMT and FragTrack....
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...bboxes, bbox1 and bbox2, represented as O(bbox1; bbox2), is measured as the ratio of intersection area to union area of two bboxes [29] as given below....
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"Correlation-Based Tracker-Level Fus..." refers background or methods in this paper
...instead of classification, kernels used for non-linear regression resulted in KCF [4]....
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...In the case of KCF [4], evaluation is done on the benchmark dataset by considering only precision plots, whereas we have considered both the precision and success plot as success plots are also of importance [23]....
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...lation in the frequency domain and λ is regularization parameter [4]....
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...Recently, correlation filters [4], [15], [16] have proved to be competitive...
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...The issues discussed above are addressed recently by TLD [3] and KCF [4] tracking methods....
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