Dec 16, 2013 · A non-parametric learning algorithm based on the transitive matching property discriminates the object from the context and prevents improper ...
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This paper presents the ALIEN tracking method that exploits oversampling of local invariant representations to build a robust object/context discriminative ...
A non-parametric learning algorithm based on the transitive matching property discriminates the object from the context and prevents improper object template ...
1 Object Tracking by Oversampling Local Features Federico Pernici and Alberto Del Bimbo Abstract—In this paper, we present the ALIEN tracking method that
This paper presents a novel local-feature-based algorithm to track objects through frames. Real-time performance and occlusion are great challenges in ...
Missing: Oversampling | Show results with:Oversampling
Mar 12, 2024 · Multi-object tracking (MOT) aims to associate target objects across video frames in order to obtain entire moving trajectories. With the ...
Missing: Oversampling | Show results with:Oversampling
We proposed a multiple object tracking algorithm based on Boosted Efficient Binary Local Image Descriptor feature. •. This algorithm utilizes the competencies ...
Missing: Oversampling | Show results with:Oversampling
Traditional approaches to object detection only look at local pieces of the image, whether it be within a sliding window or the regions around an interest point ...
Missing: Tracking Oversampling
Accurate object tracking in low-light environments is crucial, particularly in surveillance, ethology applications, and biometric recognition systems.
Duration: 11:41
Posted: May 16, 2021
Posted: May 16, 2021
Missing: Oversampling Local