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3 days ago · This research aims to validate the efficacy of the suggested method by conducting comparative experiments with several algorithms within the RGBT target ...
5 days ago · In terms of information association, the algorithm uses the Mahalanobis distance to describe the distance between the detection frame and the prediction frame, ...
1 day ago · This structured approach allows the TLD Tracker to adapt to changes in the object's appearance and handle partial occlusions more effectively. By continuously ...
8 hours ago · The RRT algorithm is improved by introducing strategies such as target-biased random sampling, adaptive step size, and adaptive radius node screening, which ...
6 days ago · This study aims to develop an adaptive search sampling method based on data ... Towards affordable on-track testing for autonomous vehicle—A Kriging-based ...
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6 days ago · A vital part of explainable video understanding is being able to detect and track objects in a video. This yields the problem of object tracking.
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5 days ago · Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion ... A Novel Bounding Box Regression Method for Single Object ...
2 days ago · This study proposes a dynamic window-based matching algorithm to expedite the discovery of matches. ... Adaptive lossless image data compression method ...
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6 days ago · Concept Drift is a phenomenon in which the underlying data distribution and statistical properties of a target domain change over time, leading to a degradation ...
3 days ago · Fragment-fusion transformer process uses the window partitioning method to perform interfragment fusion, and a window can accommodate the information ...