Search Results - "target detection"

Underwater target detection is an essential topic in the applications of underwater exploration. However, underwater target detection faces serious challenges, such as complex scattering, low visibility, and target clutter. Here a polarization-enhanced underwater multiple material target detection m...

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Target detection is a revolutionary advancement in computer vision that provides the ability to identify specific targets in images for a wide variety of applications, including but not limited to video surveillance, face recognition, and autonomous driving. Although target detection has been develo...

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Depending on single target example under the influence of spectral variation, deep learning-based hyperspectral target detection (HTD) methods are challenged by the problem of insufficient target knowledge. Inspired by self-supervised learning, this article proposes a novel HTD method based on macro...

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The growth of maritime transportation has been accompanied by a gradual increase in accident rates, drawing greater attention to the critical issue of man-overboard incidents and drowning. Traditional maritime search-and-rescue (SAR) methods are often constrained by limited efficiency and high opera...

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An accurate and rapid pig detection algorithm based on video image processing technology can be helpful to identify abnormal pigs and take timely measures to reduce the incidence of diseases. In order to solve the problems of low computational efficiency and low precision in pig detection algorithm...

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Target detection is the key technology of the apple-picking robot. To overcome the limitations of existing apple target detection methods, including low recognition accuracy of multi-species apples in complex orchard environments and a complex network architecture that occupies large memory, a light...

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In the context of vessel monitoring, the accuracy of vessel speed measurements is contingent on the availability of AIS data. However, the absence, failure, or signal congestion of AIS devices may lead to delays and inaccuracies in the speed information. To address this challenge, this paper propose...

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Multi-feature radar target detection enhances the discrimination between targets and clutter, thereby improving detection accuracy. However, the complex nonlinear dependencies among features present significant challenges for precise control of the false alarm rate (FAR). In this paper, a novel cons...

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This study presents a novel RCEA-YOLOv8 detection architecture, integrating effective attention mechanisms to accurately detect strawberry fruits at different ripening stages. First, data augmentation techniques are employed to expand the diversity of complex strawberry growth scenarios, providing r...

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Abnormal cell detection is a key technique for intelligent assisted diagnosis of cervical cancer, which directly affects the performance of the detection system. However, most cervical abnormal cells exist in the form of clusters. Cells adhere to each other, complex and diverse, which brings challen...

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Deaths occur during the culture of sea bass, and if timely harvesting is not carried out, it will lead to water pollution and the continued spread of sea bass deaths. Therefore, it is necessary to promptly detect dead fish and take countermeasures. Existing object detection algorithms, when applied...

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In view of the low precision and low efficiency of panel surface defect detection, this paper proposes an optimized defect detection algorithm based on Faster R-CNN. This method adds local adaptive cross-channel convolution without dimensionality reduction in the feature fusion layer to increase the...

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Remote sensing target detection faces significant challenges in handling multi-scale targets, with the high similarity in color and shape between targets and backgrounds in complex scenes further complicating the detection task. To address this challenge, we propose a multi-<b>S</b>cale...

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IntroductionWild Ussurian Pear germplasm resource has rich genetic diversity, which is the basis for genetic improvement of pear varieties. Accurately and efficiently identifying wild Ussurian Pear accession is a prerequisite for germplasm conservation and utilization.MethodsWe proposed YOLOv10n-MCS...

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Due to the inherent limitations of visible-light sensors, monitoring systems that rely solely on single-modal visible-light images exhibit reduced accuracy, posing safety concerns in applications such as autonomous driving. Infrared and visible-light image fusion technology addresses this issue by g...

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We propose a passive detection and tracking methodology for CamCom receivers in intelligent transport systems. The implemented architecture maximizes the data rate and can maintain a BER of 1.9 &#x00D7; 10^&#x2212;4 while passively detecting and tracking the moving tran...

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This study proposes an enhanced detection algorithm based on a real-time detection transformer framework (RT-DETR). Address the problem of leakage and misjudgment in small-target detection in aerial images. At the network architecture level, first, a lightweight multiscale attention feature extracti...

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The all-weather imaging capability of synthetic aperture radar (SAR) confers unique advantages for maritime surveillance. However, ship detection under complex sea conditions still faces challenges, such as high-frequency noise interference and the limited computational power of edge computing platf...

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The Bearing–Angle algorithm effectively improves the observability of vision-based motion estimation for moving targets by combining the dimensional information of target detection frames. However, the robustness of this algorithm will be significantly reduced when the observation error increases du...

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Low-rank decomposition models excel in small target detection due to their strong background separation. However, most of the existing methods face real-time processing challenges due to the high cost of singular value decomposition and additional regularization terms that increase computational com...

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