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检索条件"主题词=Moving Object Detection"
659 条 记 录,以下是1-10 订阅
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An Unsupervised moving object detection Network for UAV Videos
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DRONES 2025年 第2期9卷 150-150页
作者: Fan, Xuxiang Wen, Gongjian Gao, Zhinan Chen, Junlong Jian, Haojun Natl Univ Def Technol Coll Elect Sci & Technol Changsha 410073 Peoples R China
UAV moving object detection focuses on identifying moving objects in images captured by UAVs, with broad applications in regional surveillance and event reconnaissance. Compared to general moving object detection scen... 详细信息
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Real-Time moving object detection for 3-D LiDAR Using Occlusion Accumulation in Range Image
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2025年 74卷
作者: Kim, Junha Kim, Haram Oh, Changsuk Kim, Changhyeon Kim, H. Jin Seoul Natl Univ Dept Mech & Aerosp Engn Seoul 08826 South Korea Seoul Natl Univ Automat & Syst Res Inst ASRI Seoul 08826 South Korea 42dot Seoul 13449 South Korea Seoul Natl Univ Artificial Intelligence Inst AIIS Seoul 08826 South Korea Samsung Res Seoul 06765 South Korea Seoul Natl Univ Dept Aerosp Engn Seoul 08826 South Korea
Deep learning methods have been applied to detect moving objects from 3-D LiDAR data, but they require extra computing devices, such as graphics processing units (GPUs), and often struggle to operate at real-time LiDA... 详细信息
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moving object detection using unstable camera for video surveillance systems
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OPTIK 2015年 第20期126卷 2436-2441页
作者: Lee, Seungwon Kim, Nahyun Jeong, Kyungwon Park, Kyungju Paik, Joonki Chung Ang Univ Dept Image Seoul 156756 South Korea
This paper presents a robust moving object detection method by compensating for motion of an unstable camera. Assuming that global camera motion results in affine transform between two successive frames, local affine ... 详细信息
来源: 评论
moving object detection Method via ResNet-18 With Encoder-Decoder Structure in Complex Scenes
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IEEE ACCESS 2019年 7卷 108152-108160页
作者: Ou, Xianfeng Yan, Pengcheng Zhang, Yiming Tu, Bing Zhang, Guoyun Wu, Jianhui Li, Wujing Hunan Inst Sci & Technol Sch Informat Sci & Engn Yueyang 414006 Peoples R China Hunan Inst Sci & Technol Machine Vis & Artificial Intelligence Res Ctr Yueyang 414006 Peoples R China
In complex scenes, dynamic background, illumination variation, and shadow are important factors, which make conventional moving object detection algorithms suffer from poor performance. To solve this problem, a moving... 详细信息
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moving object detection via RPCA framework using non-convex low-rank approximation and total variational regularization
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SIGNAL IMAGE AND VIDEO PROCESSING 2023年 第1期17卷 109-117页
作者: Chen, Tianfei Zhao, Dongliang Sun, Lijun Li, Shi Feng, Binbin Henan Univ Technol Minist Educ Key Lab Grain Informat Proc & Control Zhengzhou 450001 Peoples R China Henan Univ Technol Henan Key Lab Grain Photoelectr Detect & Control Zhengzhou 450001 Peoples R China Henan Univ Technol Coll Informat Sci & Engn Zhengzhou 450001 Peoples R China
moving object detection is one of the significant tasks in computer vision. Robust Principal Component Analysis (RPCA) is a common method for moving object detection. However, this algorithm fails to effectively utili... 详细信息
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moving object detection based on incremental learning low rank representation and spatial constraint
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NEUROCOMPUTING 2015年 168卷 382-400页
作者: Dou, Jianfang Li, Jianxun Qin, Qin Tu, Zimei Shanghai Second Polytech Univ Sch Intelligent Mfg & Control Engn Dept Automat & Mech & Elect Engn Shanghai 201209 Peoples R China Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Minist Educ China Key Lab Syst Control & Informat Proc Shanghai 200240 Peoples R China
Background modeling and subtraction, the task to detect moving objects in a scene, is an important step in video analysis. In this paper, we present a novel moving object detection method based on Online Low Rank Matr... 详细信息
来源: 评论
moving object detection under different weather conditions using full-spectrum light sources
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PATTERN RECOGNITION LETTERS 2020年 129卷 205-212页
作者: Boukhriss, Rania Rebai Fendri, Emna Hammami, Mohamed Sfax Univ MIRACL ISIMS Sfax Tunisia Sfax Univ MIRACL FS Rd Sokra Sfax Tunisia
The moving object detection always remains an active field of research given the variety of challenges related to this topic. In fact, most of the challenges related to the low illumination and weather conditions (fog... 详细信息
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moving object detection by low rank approximation and l1-TV regularization on RPCA framework
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JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2018年 56卷 188-200页
作者: Shijila, B. Tom, Anju Jose George, Sudhish N. Natl Inst Technol Calicut Dept Elect & Commun Engn Calicut 673601 Kerala India
The detection of moving objects and the subtraction of the scene background are significant tasks for intelligent video surveillance systems as it is one among the fundamental steps. Inspired by the challenging cases ... 详细信息
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moving object detection in video sequence images based on an improved visual background extraction algorithm
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MULTIMEDIA TOOLS AND APPLICATIONS 2020年 第39-40期79卷 29663-29684页
作者: Zuo, Junhui Jia, Zhenhong Yang, Jie Kasabov, Nikola Xinjiang Univ Coll Informat Sci & Engn 666 Shengli Rd Tianshan Dist Urumqi Peoples R China Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit 2-427 SEIEE Bldg800 Dong Chun Rd Shanghai Peoples R China Auckland Univ Technol Knowledge Engn & Discovery Res Inst Private Bag 92006 Auckland New Zealand
Visual background extraction is a method for detecting moving objects in video sequence images. In the traditional visual background extraction algorithm, ghost phenomena and dynamic background interference exist in t... 详细信息
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moving object detection algorithm based on pixel spatial sample difference consensus
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MULTIMEDIA TOOLS AND APPLICATIONS 2017年 第21期76卷 22077-22093页
作者: Zhang, Chi Zheng, Jin Zhang, Yugui Han, Mengxiong Li, Bo Beihang Univ Beijing Key Lab Digital Media Beijing 100191 Peoples R China Beihang Univ State Key Lab Virtual Real Technol & Syst Beijing 100191 Peoples R China
moving object detection is an essential component for security video surveillance system and other computer vision applications. Although the latest object detection methods get promising detection expectations, howev... 详细信息
来源: 评论