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In this paper, we propose a CNN-based framework for online MOT. This framework utilizes the merits of single object trackers in adapting appearance models and searching for target in the next frame. Simply applying single object tracker for MOT will encounter the problem in computational efficiency and drifted results caused by occlusion. Our framework achieves computational efficiency by sharing...
Iterative Learning control (ILC) is a powerful control concept that iteratively improves the behaviors of processes that are repetitive in nature. A new and systematic design of the PD iterative learning control has been presented based upon frequency domain of plant. For design specifications, including the convergence margin and cut-off frequency which is determined by useful input signal, a proper...
Iterative Learning control (ILC) is a powerful control concept that iteratively improves the behaviors of processes that are repetitive in nature. A new and systematic frequency-domain approach of the PD iterative learning control has been presented based upon frequency domain of continuous model. For design specifications, including the convergence margin and cut-off frequency which is determined...
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