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Due to the high efficiency of discriminative correlation filter (DCF), it has attracted widespread attention in the field of UAV object tracking. To handle the problem of filter degradation, many trackers usually introduce temporal regularization to enhance the discriminative power of the filter. However, these temporal regularization methods only utilize the limited information between two consecutive frames, which are susceptible interference by previous corrupted information. Besides, regularization terms with predefined hyperparameters can not well adapt to the variations of the target across sequent frames, which may cause the model degradation or drift. We propose a tracker based on DCF framework to fully exploit the information hidden in the historical response map, namely adaptive weighted response consistency-based DCF tracking. Specifically, carefully selected historical response maps with fixed weight distribution are introduced in training phase to increase the robustness of the filter. Further, we present a unified loss for jointly learning the filter and the weight distribution, which can be solved by the alternate convex search method. The joint loss guarantees that reliable response maps contribute more to filter learning, leading to a more discriminative and adaptive filter for tracking the target. Extensive experiments show that the proposed method achieves state-of-the-art results on two datasets. [ABSTRACT FROM AUTHOR]

A laser-induced cavitation-based sterilization technique was demonstrated to efficiently inactivate foodborne pathogenic bacteria with a low loss of nutrients. A sterilization efficiency of more than 90% (less than 5 × 105 colony-forming unit / mL) was achieved when the flow rate was no more than 40 μL / s on a chip that could mimic an industrial sterilization system. In addition, the sterilization efficiency could be enhanced if the channels of the chip were coated with Ta2O5 / SiO2 film. Moreover, the nutrient composition of the milk was well preserved. The laser-induced cavitation-based sterilization technique provides an alternative method for the inactivation of foodborne pathogenic bacteria. [ABSTRACT FROM AUTHOR]