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• W3200960866 abstract "• Designing a real-time and efficient correlation filter tracker for infrared maritime targets. • Jointing an adaptive context-aware mechanism and a novel spatial regularization term to boost tracking performance. • Optimizing correlation filters and spatial regularization weights simultaneously to learn more reliable filter coefficients. • Mining response map variation information to design an adaptive updating strategy and spatial regularization reference value. Infrared maritime target tracking has been a typical application of infrared tracking techniques, and it remains a challenging task to design trackers with outstanding robustness and efficiency simultaneously. To address this challenge, we propose a real-time infrared maritime target tracker based on adaptive context-aware and spatially-regularized discriminative correlation filters (ACSDCF). The adaptive context-aware strategy is utilized to incorporate more negative samples explicitly and suppress background interference. We design an automatic spatial regularization mechanism to alleviate the inherent drawbacks of correlation filter-based trackers by utilizing response map information. Moreover, an adaptive updating strategy based on response map variation is introduced to cast a tradeoff between tracking speed and accuracy. Extensive experimental results in different infrared maritime target sequences demonstrate that the comprehensive properties of the proposed ACSDCF, with a tracking speed of 40 + frames per second, are superior to state-of-the-art trackers." @default.
• W3200960866 created "2021-09-27" @default.
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• W3200960866 date "2021-11-01" @default.
• W3200960866 modified "2023-10-14" @default.
• W3200960866 title "Infrared maritime target tracking via correlation filter with adaptive context-awareness and spatial regularization" @default.
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• W3200960866 doi "https://doi.org/10.1016/j.infrared.2021.103907" @default.
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