机构

• 长春光学精密机械与物... [4]
• 遥感与数字地球研究所 [2]
• 深海科学与工程研究所 [2]
• 沈阳自动化研究所 [2]
• 西安光学精密机械研究... [2]

采集方式

• OAI收割 [12]

内容类型

• 会议论文 [6]
• 期刊论文 [6]

发表日期

• 2025 [1]
• 2023 [1]
• 2021 [3]
• 2015 [1]
• 2012 [1]
• 2011 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Vision-based underwater target real time detection for autonomous underwater vehicle subsea exploration 期刊论文  OAI收割 Frontiers in Marine Science, 2025, 卷号: 10, 期号: 1, 页码: 1-12 作者:  Xu GF(徐高飞);  Zhou DX(周道先);  Yuan LB(袁立标);  Guo W(郭威);  Huang ZP(黄泽鹏)   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/12/16 autonomous underwater vehicle  subsea exploration  real time target detection  light weight convolutional neural network  underwater image enhancement   Vision-based underwater target real-time detection for autonomous underwater vehicle subsea exploration 期刊论文  OAI收割 FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 12 作者:  Xu, Gaofei;  Zhou, Daoxian;  Yuan, Libiao;  Guo, Wei;  Huang, Zepeng   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/10/07 autonomous underwater vehicle  subsea exploration  real-time target detection  lightweight convolutional neural network  underwater image enhancement   New results on small and dim infrared target detection 期刊论文  OAI收割 Sensors, 2021, 卷号: 21, 期号: 22 作者:  Wang, Hao;  Zhao, Zehao;  Kwan, Chiman;  Zhou, Geqiang;  Chen, Yaohong   |  收藏  |  浏览/下载：100/0  |  提交时间：2021/12/07 IR target detection  real-time detection  imaging processing   Small Infrared Target Detection Based on Fast Adaptive Masking and Scaling With Iterative Segmentation 期刊论文  OAI收割 IEEE Geoscience and Remote Sensing Letters, 2021 作者:  Chen, Yaohong;  Zhang, Gaopeng;  Ma, Yingjun;  Kang, Jin U.;  Kwan, Chiman   |  收藏  |  浏览/下载：47/0  |  提交时间：2021/02/08 Adaptive masking and scaling  iterative segmentation  real-time target detection  small infrared (IR) target detection   Research on Collaborative Object Detection and Recognition of Autonomous Underwater Vehicle Based on YOLO Algorithm 会议论文  OAI收割 Kunming, China, May 22-24, 2021 作者:  Tang LS(唐磊生);  Xu HL(徐红丽);  Wu H(吴函);  Tan DX(谭东旭);  Gao L(高雷)   |  收藏  |  浏览/下载：58/0  |  提交时间：2021/12/05 Underwater Vehicle  YOLO  Neural Network  Real-time Detection  Target Recognition   Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 卷号: 8, 期号: 6(SI), 页码: 536-546 作者:  Yang, Bin;  Yang, Minhua;  Plaza, Antonio;  Gao, Lianru;  Zhang, Bing 收藏  |  浏览/下载：88/0  |  提交时间：2016/04/20 Field programmable gate arrays (FPGAs)  hyperspectral imaging  real-time processing  streaming background statistics (SBS)  target and anomaly detection   DSP design for real-time hyperspectral target detection based on spatial-spectral information extraction 会议论文  OAI收割 Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery Xviii, Bellingham Yang, Wei; Zhang, Bing; Gao, Lianru; Wu, Yuanfeng 收藏  |  浏览/下载：14/0  |  提交时间：2014/12/07 Hyperspectral image  target detection  real-time processing  DSP  SSIE  CEM   An automatic pedestrian detection and tracking method: Based on mach and particle filter (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China Han Q.; Yao Z. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 This paper introduces a pedestrian detecting and tracking approach. Correlation filters present the composite properties which have been successively used in target detection. Particle filter are combined to locate the targets in real-time. Our contribution is proposing a general algorithm that is able to detect and track pedestrians in clutter environments. We also create a different view pedestrian dataset. Experiments show our algorithm is comparative when there is block and occlusion in tracking. 2011 IEEE.   Adaptive segmentation algorithm for ship target under complex background (EI CONFERENCE) 会议论文  OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China Wang A.-B.; Wang C.-X.; Su W.-X.; Dong Y.-F. 收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25 Segmentation of ship target under complex background has important research significance in long-range ship tracking and identification  and an adaptive segmentation algorithm is proposed according to background images with different complexity. Local complexity of image is first calculated in this algorithm  and then the original image is preprocessed with different de noising methods according to local complexity  finally the image is binarized based on local complexity and the target is segmented. The experiment results indicate that the algorithm is adaptive and can meet the requirements of real-time processing  which lays a foundation for ship target detection under complex background. 2010 IEEE.   Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Dong Y.; Chuan W. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 In Video tracking  detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field  feature histogram of luminance is as observe vector and used posterior estimate. In this paper  the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling  scale and partial occlusion. 2010 IEEE.