Jun 11, 2024 · Learning adaptive discriminative correlation filters (LADCFs) [15] exploit the complementary information of the target and background to adaptively optimize ...
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 ...
Jun 14, 2024 · A tracking method based on the online multiple instance learning (MIL) method is proposed by Babenko et al. [30] to treat ambiguous negative and positive ...
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 ...
Jun 7, 2024 · Abnormal recognition and tracking based on skeleton nodes is one of the important methods in current research. ... Adaptive Sliding Window Selection Calculation.
Jun 21, 2024 · [9] proposed Adaptive Windowing (ADWIN), which defines two subwindows for new and old data with an adaptive change in size within the total fixed-size data ...
Jun 8, 2024 · This paper proposes an efficient electric bicycle tracking algorithm, EBTrack, utilizing the high-precision and lightweight YOLOv7 as the target detector to ...
Jun 5, 2024 · We design a frequency adaptive mechanism that adjusts the tracking rate based on the velocity of pupil movement, enhancing accuracy while reducing ...
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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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