中国科学院机构知识库网格系统: 检索

The Cat's Eye Effect Target Recognition Method Based on Visual Attention 期刊论文 OAI收割
Chinese Journal of Electronics, 2019, 卷号: 28, 期号: 5, 页码: 1080-1086
作者: X.B.Wang; J.Zhang; S.H.Wang

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收藏 | 浏览/下载：35/0 | 提交时间：2020/08/24

feature extraction,image fusion,object detection,target-saliency map,target region,Cat's eye effect target recognition method,visual,attention,second-directional derivative filter,directional channels,morphological method,potential targets exist,designed saliency fusing,method,candidate targets,Cat's eye effect target recognition method,based on visual attention (CTRVA),Target recognition,Saliency map,Engineering

The Cat's Eye Effect Target Recognition Method Based on Visual Attention 期刊论文 OAI收割
Chinese Journal of Electronics, 2019, 卷号: 28, 期号: 5, 页码: 1080-1086
作者: X.B.Wang; J.Zhang; S.H.Wang

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收藏 | 浏览/下载：27/0 | 提交时间：2020/08/24

feature extraction,image fusion,object detection,target-saliency map,target region,Cat's eye effect target recognition method,visual,attention,second-directional derivative filter,directional channels,morphological method,potential targets exist,designed saliency fusing,method,candidate targets,Cat's eye effect target recognition method,based on visual attention (CTRVA),Target recognition,Saliency map,Engineering

Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data 期刊论文 OAI收割
REMOTE SENSING OF ENVIRONMENT, 2017, 卷号: 195, 页码: 218-229
作者: Chen, Gang; He, Yinan; De Santis, Angela; Li, Guosheng; Cobb, Richard

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收藏 | 浏览/下载：34/0 | 提交时间：2019/09/25

Forest disease Burn severity Object-based filter Landsat KOMPSAT-2 Interacting disturbances

Rear-View Vehicle Detection and Tracking by Combining Multiple Parts for Complex Urban Surveillance 期刊论文 OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 卷号: 15, 期号: 2, 页码: 597-606
作者: Tian, Bin; Li, Ye; Li, Bo; Wen, Ding; Bin Tian

收藏 | 浏览/下载：28/0 | 提交时间：2015/08/12

Kalman filter (KF) Markov random field (MRF) part-based object detection tracking vehicle detection

The design of acquisition circuit for grating digital signal based on FPGA (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
作者: Wang W.-G.

收藏 | 浏览/下载：37/0 | 提交时间：2013/03/25

In order to resolve the poor suppression capability of noise and fitter interference existing in grating encoder high-rate subdivision and the poor accuracy of kam-to counting circuit the results show that the design method will help improve the controlled object of measurement precision and control accuracy. 2010 IEEE. we design a circuit based on FPGA to realize multiplier kam and filter for the output of two-way orthogonal signal generated by Incremental Optical Encoder. The system is mainly divided into three modules such as filtering multiplier kam-to and counting. The main function of filter circuit is to eliminate the jitter and noise interference existing in the quadrate encoder signals. Kam-to multiplier circuit can accurately judge the full cycle and half-cycle of incremental encoder at the same time can make fourfold multiplier. Counting circuit can use IP cores owned by Quartus II which is not restricted on the median. At last timing simulation based on Modelsim carried on the three modules

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.

Study on color image tracking and detection algorithms based on particle filter (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China
Wu C.; Sun H.-J.; Yang D.

收藏 | 浏览/下载：20/0 | 提交时间：2013/03/25

In Video tracking detection and tracking need two algorithms. The process is complex and need much time which detection and tracking is. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance and of location. Particle filter-based method implements detection and tracking. In order to reduce process time and think of pixel position in tracking field feature histogram of color-based is as observe vector and used posterior estimate. The experimental results confirm that method can detect and track object in 17.68ms successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2009 SPIE.

智能视频监控中运动目标检测与跟踪技术的研究 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2007
作者: 杨杰

收藏 | 浏览/下载：128/0 | 提交时间：2015/09/02

智能视频监控背景建模目标跟踪基于MCMC的粒子滤波 Intelligent visual surveillance background modeling object tracking MCMC-based particle filter

An adaptive temporal filter based on motion compensation for video noise reduction (EI CONFERENCE) 会议论文 OAI收割
2006 International Conference on Communication Technology, ICCT '06, November 27, 2006 - November 30, 2006, Guilin, China
作者: Li Y.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：19/0 | 提交时间：2013/03/25

Noise in video signals will degrades the image quality. In this paper an adaptive temporal filter based on motion compensation is proposed for noise reduction. The noise in video sequence is tracked by motion compensation in temporal domain. The filtering strength can be adaptive changed on object motion situation. The experiment results show that the proposed filter is better than the filter in spatial domain. The noise in video signals can be effectively reduced and the image will not be blurry as the result of spatial filter.

Novel adaptive temporal filter based on motion compensation for video noise reduction (EI CONFERENCE) 会议论文 OAI收割
2006 International Symposium on Communications and Information Technologies, ISCIT, October 18, 2006 - October 20, 2006, Bangkok, Thailand
Yan L.; Yanfeng Q.

收藏 | 浏览/下载：23/0 | 提交时间：2013/03/25

Noise in video signals will degrades the image quality. In this paper a novel adaptive temporal filter based on motion compensation is proposed for noise reduction. The noise in video sequence is tracked by motion compensation in temporal domain. The filtering strength can be adaptive changed on object motion situation. The experiment results show that the proposed filter is better than the filter in spatial domain. The noise in video signals can be effectively reduced and the image will not be blurry as the result of spatial filter. 2006 IEEE.