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Julio-Alejandro Romero-González, Diana-Margarita Córdova-Esparza, Juan Terven, Ana-Marcela Herrera-Navarro and Hugo Jiménez-Hernández
This paper introduces a novel background subtraction method that utilizes texture-level analysis based on the Gabor filter bank and statistical moments. The method addresses the challenge of accurately detecting moving objects that exhibit similar color ...
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Ruidong Zhang and Xinguang Zhang
When using deep learning networks for dynamic feature rejection in SLAM systems, problems such as a priori static object motion leading to disturbed build quality and accuracy and slow system runtime are prone to occur. In this paper, based on the ORB-SL...
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Chenyang Zhang, Teng Huang, Rongchun Zhang and Xuefeng Yi
RGB-D SLAM (Simultaneous Localization and Mapping) generally performs smoothly in a static environment. However, in dynamic scenes, dynamic features often cause wrong data associations, which degrade accuracy and robustness. To address this problem, in t...
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Ze Pan, Zheng Tan and Qunbo Lv
The multi-frame super-resolution techniques have been prosperous over the past two decades. However, little attention has been paid to the combination of deep learning and multi-frame super-resolution. One reason is that most deep learning-based super-re...
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Junhao Cheng, Zhi Wang, Hongyan Zhou, Li Li and Jian Yao
Most Simultaneous Localization and Mapping (SLAM) methods assume that environments are static. Such a strong assumption limits the application of most visual SLAM systems. The dynamic objects will cause many wrong data associations during the SLAM proces...
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Lin Fu, Jun Zhu, Jianbo Lai, Weilian Li, Pei Dang, Lingzhi Yin, Jialuo Li, Yukun Guo and Jigang You
The rapid acquisition of deposit volume information and dynamic modeling, as well as the visualization of disaster scenes, have great significance for the sharing of landslide information and the management of emergency rescue. However, existing methods ...
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Tianming Yu, Jianhua Yang and Wei Lu
Advancing the background-subtraction method in dynamic scenes is an ongoing timely goal for many researchers. Recently, background subtraction methods have been developed with deep convolutional features, which have improved their performance. However, m...
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Ranran Tang, Jun Zhu, Ying Ren, Yongzhe Ding, Jianlin Wu, Yukun Guo and Yakun Xie
Informatization is an important trend in the field of mountain highway management, and the digital twin is an effective way to promote mountain highway information management due to the complex and diverse terrain of mountainous areas, the high complexit...
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Sheng Lu, Chaoyang Fang and Xin Xiao
Due to the complexity of wetland ecosystems, wetlands have a wide area of alternating land and water zones and complex vegetation composition, making it challenging to achieve dynamic displays of virtual wetland scenes using three-dimensional modeling. T...
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Yuxie Luo, Jia Song, Kai Zhao and Yang Liu
The multi-UAV system has stronger robustness and better stability in combat. Therefore, the collaborative penetration of UAVs has been extensively studied in recent years. Compared with general static combat scenes, the dynamic tracking and interception ...
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Meixu Chen, Dani Arribas-Bel and Alex Singleton
Urban environments play a crucial role in the design, planning, and management of cities. Recently, as the urban population expands, the ways in which humans interact with their surroundings has evolved, presenting a dynamic distribution in space and tim...
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Jie Shen, Jingyi Zhou, Jiemin Zhou, Lukas Herman and Tomas Reznik
Urban flooding, as one of the most serious natural disasters, has caused considerable personal injury and property damage throughout the world. To better cope with the problem of waterlogging, the experts have developed many waterlogging models that can ...
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Ho-Hyoung Choi, Hyun-Soo Kang and Byoung-Ju Yun
One of the significant qualities of the human vision, which differentiates it from computer vision, is so called attentional control, which is the innate ability of our human eyes to select what visual stimuli to pay attention to at any moment in time. I...
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Myeongseob Ko, Suneung Kim, Mingi Kim and Kwangtaek Kim
In the past few years, it has become increasingly important to automatically detect falls and provide feedback in emergency situations. To meet these demands, fall detection studies have been undertaken using various methods ranging from wearable devices...
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Taiji Lan, Xucheng Xue, Junlin Li, Chengshan Han and Kehui Long
The digital time delay integration (digital TDI) technology of the complementary metal-oxide-semiconductor (CMOS) image sensor has been widely adopted and developed in the optical remote sensing field. However, the details of targets that have low illumi...
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Guoyi Sun, Qian Xu, Guangyuan Zhang, Tengteng Qu, Chengqi Cheng and Haojiang Deng
With the rapid development of the big data era, Unmanned Aerial Vehicles (UAVs) are being increasingly adopted for various complex environments. This has imposed new requirements for UAV path planning. How to efficiently organize, manage, and express all...
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Guangwei Fan, Chuanzhen Sheng, Baoguo Yu, Lu Huang and Qiang Rong
In terms of indoor and outdoor positioning, in recent years, researchers at home and abroad have proposed some multisource integrated navigation and positioning methods, but these methods are navigation and positioning methods for a single scene. When it...
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Yiran Xue, Rui Wu, Jiafeng Liu and Xianglong Tang
Existing crowd evacuation guidance systems require the manual design of models and input parameters, incurring a significant workload and a potential for errors. This paper proposed an end-to-end intelligent evacuation guidance method based on deep reinf...
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Fernando Zorilla, Marcel Ritter, Johannes Sappl, Wolfgang Rauch and Matthias Harders
Surface tension has a strong influence on the shape of fluid interfaces. We propose a method to calculate the corresponding forces efficiently. In contrast to several previous approaches, we discriminate to this end between surface and non-surface SPH pa...
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Yunhao Zhang, Jun Zhu, Weilian Li, Qing Zhu, Ya Hu, Lin Fu, Junxiao Zhang, Pengcheng Huang, Yakun Xie and Lingzhi Yin
The construction of a virtual debris flow disaster environment is of great significance in debris flow disaster prevention, risk assessment, accurate simulation, and disaster emergency response. However, existing research on virtual disaster environments...
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