18 results with keyword: 'improved robust part based model visual object tracking'
The proposed tracker combines a coarse object representation with a mid-level deformable parts model in top-down localization and bottom-up updates (Figure 1.2).. The coarse
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1.4 Other Effective Sampling Methods 1.4.3 Obtain a Cluster Sample (2 of 7). EXAMPLE Obtaining a
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The method tries to ®nd a smooth trajectory in the parameter space with maximum energy, where the latter incorpo- rates both the structure of the moving object and the smoothness
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Another robust tracker is the Sparsity-based Collaborative Model [39] (SCM), it is an object tracking algorithm which uses a robust appearance model that exploits both
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The proposed tracker has been tested against many challenging conditions and found to be robust against clutter, illumination change, scale change, fast object movement, motion
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What’s the problem to be solved? Model Selection & Design Content Strategy Technology Needs Operations Procedures Teacher Selection & Training
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Keypoint based (Nebehay and Pflugfelder. Specifically, we employ an efficient phase correlation scheme to deal with both scale and rotation changes simul- taneously in
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Must abide by all Federal, State and Local laws as to keep a good name for the College Democrats of Mesa State College, Colorado and America along with Mesa State College...
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For Selective Search, to achieve the similar mean overlap score of top 100 windows when 400 ∼ 600 original proposals are generated in total (as the yellow area marks), only 180 ∼
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Recurrently exploiting co saliency of target for part based visual tracking RESEARCH Open Access Recurrently exploiting co saliency of target for part based visual tracking Song
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In this section, we look at the empirical evidences on the impact of ESRM use on tax payments. We start with discussion of the econometric approach. We will then present our
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To improve the robustness and to overcome the tracking drifts problem a robust approach for Feature Extraction and Change Detection via Collaborative Observation model that
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a) Network Architecture: We use the pre-trained ResNet18 [ 14 ] structure as the feature extraction backbone. The size of the template image is the same as the search region
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Access information about employee availability and use it to set goals for billable time, track results, and realize greater productivity by using Microsoft Dynamics SL
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During the detection phase of a lost object, the existence of a color-color pair matching, the color of the object, or an IR-IR pair alone cannot claim the detection of the object
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Our main objective of this thesis is to investigate a robust and efficient feature representation for visual object tracking. More specifically, our goal is to: 1) discover a robust
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of the characters portrayed, as Guambiano or White, would.. affect their personalities, actions, aims,
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