We propose a tracking solution based on human vision principles to reduce combination errors by adaptively fusing each feature using its previous performance.
Abstract—To overcome visual object tracking challenges, vari- ous feature-based object trackers use feature combination. Each feature component is developed ...
In this paper, we propose an adaptive feature fusion mechanism, which can balance the detection granularities from shallow to deep convolutional layers.
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Object Tracking. Conference Paper. Visual perception based adaptive feature fusion for visual object tracking. October 2017. DOI:10.1109/SMC.2017.8122800.
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Oct 22, 2024 · To address this problem, we propose a new CNN method based on orientation fusion for visual object recognition. The proposed cloud-based ...
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This paper proposes a criterion of feature tracking reliability and conduct a novel feature adaptive fusion framework.
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Visual object tracking is an important research area within computer vision. Object tracking has applications in security, surveillance, robotics, and safety ...
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To overcome visual object tracking challenges, various feature-based object trackers use feature combination. Each feature component is developed to o...... 小 ...
Nov 21, 2022 · This paper proposed a small object detection algorithm for adaptive feature fusion, referred to as MMF-YOLO.
Apr 5, 2022 · Visual-based target tracking is easily influenced by multiple factors, such as background clutter, targets fast-moving, illumination variation, ...
Missing: perception | Show results with:perception