Results 21 to 30 of about 387,938 (287)
The research and optimization of multi-target detection algorithm based on FSK system for multi-target traffic radar is presented in this paper. In the multi target detection, the CFAR detection method is used to set the adaptive detection threshold for ...
Cao Lin +3 more
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Improved DeepSORT Algorithm Based on Multi-Feature Fusion
At present, the detection-based pedestrian multi-target tracking algorithm is widely used in artificial intelligence, unmanned driving cars, virtual reality and other fields, and has achieved good tracking results.
Haiying Liu +3 more
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A joint algorithm of multi-target detection and tracking for underground miners
The existing multi-target tracking algorithms for underground miners has the problems of slow detection speed and low recognition precision. In order to solve the above problems, a joint algorithm of multi-target detection and tracking algorithm based on
ZHOU Mengran +3 more
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Early Fault Detection with Multi-target Neural Networks [PDF]
Wind power is seeing a strong growth around the world. At the same time, shrinking profit margins in the energy markets let wind farm managers explore options for cost reductions in the turbine operation and maintenance. Sensor-based condition monitoring facilitates remote diagnostics of turbine subsystems, enabling faster responses when unforeseen ...
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MGAF‐net: Gaussian saliency features guided infrared small target detection network
Robust infrared dim small target detection under sparse features is a difficult problem in the field of small target detection. Therefore, in order to solve this problem, this paper proposes an infrared dim small target detection network based on multi ...
Xiangyang Ren +3 more
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This study proposes a multi-rank range-spread target detection method for multi-channel array radar under a non-Gaussian clutter background. The method aims to detect the target from real clutter using the multi-channel array radar.
Yongchan GAO +3 more
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Phased array over-the-horizon (OTH) radar usually needs to detect sea target and airborne target in different directions. Conventionally, the sea target and airborne target are detected sequentially with the coherent integration completely accomplished ...
Zhaoyi Wang +3 more
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Robust Measurement-Driven Cardinality Balance Multi-Target Multi-Bernoulli Filter
The multi-target tracking filter under the Bayesian framework has strict requirements on the prior information of the target, such as detection probability density, clutter density, and target initial position information.
Biao Yang +4 more
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Multi scale switchable atrous convolution for target detection based on feature pyramid [PDF]
Repeated observation mechanism can effectively solve the problem of low efficiency of feature extraction. By extracting features for many times to strengthen target features, this paper proposed a multi-scale switchable atrous convolution based on ...
Fang Cheng, Hao Ziqiang, Chen Jiaxin
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Multi-Target Deep Learning for Algal Detection and Classification [PDF]
Water quality has a direct impact on industry, agriculture, and public health. Algae species are common indicators of water quality. It is because algal communities are sensitive to changes in their habitats, giving valuable knowledge on variations in water quality. However, water quality analysis requires professional inspection of algal detection and
Qian, Peisheng +8 more
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