发布求助
文献互助 智能选刊 最新文献

2013 Seventh International Conference on Image and Graphics最新文献

筛选
英文 中文
Control of Two-Wheeled Mobile Manipulator with Vision Servoing 基于视觉伺服的两轮移动机械手控制
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.155
Hu Chen, Jangmyung Lee
{"title":"Control of Two-Wheeled Mobile Manipulator with Vision Servoing","authors":"Hu Chen, Jangmyung Lee","doi":"10.1109/ICIG.2013.155","DOIUrl":"https://doi.org/10.1109/ICIG.2013.155","url":null,"abstract":"This paper presents a method for controlling a two-wheeled mobile manipulator with visual servoing. There are three subsystems: stereo vision system, 10 DOF dual arm manipulator and two-wheeled mobile robot. The whole system can be seen as an inverted pendulum. When the robot reaches the stable state, the centroid of the whole system is in the perpendicular line of the central point of mobile robot platform and ground. The target object can be tracked using CamShift algorithm. The size, position of the object, and the distance between the object and mobile manipulator can be obtained with visual servoing. A stereo vision system with image based visual servoing (IBVS) is proposed in this paper.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131584381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Spatial-Temporal Sparse Representation for Background Modeling 背景建模的时空稀疏表示
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.135
Jiang Jiang, Liangwei Jiang, N. Sang
{"title":"Spatial-Temporal Sparse Representation for Background Modeling","authors":"Jiang Jiang, Liangwei Jiang, N. Sang","doi":"10.1109/ICIG.2013.135","DOIUrl":"https://doi.org/10.1109/ICIG.2013.135","url":null,"abstract":"In this paper, a sparse representation based background model is introduced for video surveillance. Inspired by the fact that spatial and temporal information are both important for foreground detection, a spatial-temporal image patch, namely brick, is used as atomic unit for online subspace learning and sparse representation. Furthermore, Random Projection emerged from Compressive Sensing theory is applied to reduce the dimension of bricks so as to speed up the algorithm. Experimental results show the effectiveness of the proposed method.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125535591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Image Segmentation Model Based on Local Image Fitting Energy and Split Bregman Method 基于局部图像拟合能量和分裂Bregman方法的图像分割模型
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.45
Jing Lin, Meiqing Wang, Haiping Xu
{"title":"Image Segmentation Model Based on Local Image Fitting Energy and Split Bregman Method","authors":"Jing Lin, Meiqing Wang, Haiping Xu","doi":"10.1109/ICIG.2013.45","DOIUrl":"https://doi.org/10.1109/ICIG.2013.45","url":null,"abstract":"PDE based image segmentation methods are the state-of-the-art methods due to the high accuracy and continuity of detected edges. Some examples are the region-scalable fitting (RSF) model and the local image fitting energy (LIF) model. But they suffer from the high computing complexity and instability. Recently, the globally convex method and the split Bregman method are introduced to overcome this problem. In this paper, a globally convex version of the LIF model is proposed and then the split Bregman method is used to solve the model. Experiments show that this model is more efficient than the RSF model and the LIF model while with similar segmentation results.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131712012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Edge Detection Algorithm Based on Grey System Theory Combined with Directed Graph 灰色系统理论与有向图相结合的边缘检测算法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.42
Yan Wan, Shanshan Jia, Dong Wang
{"title":"Edge Detection Algorithm Based on Grey System Theory Combined with Directed Graph","authors":"Yan Wan, Shanshan Jia, Dong Wang","doi":"10.1109/ICIG.2013.42","DOIUrl":"https://doi.org/10.1109/ICIG.2013.42","url":null,"abstract":"A new edge detection algorithm based on grey system theory combined with directed graph is proposed to improve the defects in traditional Canny operator profiled fiber contour extraction, such as the discontinuous edge and the false edge. Firstly, the strong edge as well as binary image is obtained respectively by grey prediction and Nib lack algorithm, and then the connected graph is emerged by edge linking algorithm. Combined it with the Regions of Interest (ROI) which are calculated by grey correlation degree, the edge of fiber is appeared. The flooding algorithm and contour tracking method is used to get the fiber's outer contour, based on it and ROI, the enhanced fiber image is computed. Finally, the edge detected algorithm found on directed graph is applied to extract the edge of fiber, and the complete edge is gained after the burr is eliminated. The experimental results show that the algorithm cannot only resist noise very well, but also determine complete edge, as well as improve the detection accuracy. Compared with Canny operator, it has better continuity and overcomes the phenomenon of double edge.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128208979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
The Monitoring of Rare Earths Mining from the Gannan Area of Southern China Using Remote Sensing Technology 基于遥感技术的甘南地区稀土开采监测
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.169
B. Ye, Zhenghui Chen, Nisha Bao, Y. Li
{"title":"The Monitoring of Rare Earths Mining from the Gannan Area of Southern China Using Remote Sensing Technology","authors":"B. Ye, Zhenghui Chen, Nisha Bao, Y. Li","doi":"10.1109/ICIG.2013.169","DOIUrl":"https://doi.org/10.1109/ICIG.2013.169","url":null,"abstract":"The weathering crust Elution-deposited Rare Earth is the peculiar and valuable source in China. The greatly mining activities in the south of GanZhou(Gannan) were occurred disorderly and illegally using the traditional extraction way, which brought out the dreadful environmental influence. In this study, the SPOT5 multispectral data was used to recognize and classify the destroyed land from mining activity. It was found that the most mining areas were located dispersedly, covered the area of 60.97km2 in total with 524 sites, which accounted for 3.03% of the whole study area. There were 513 patches of destroyed area less than 1 km2 distributed in the southwest of the study area. The results indicated that the mining integration should be concerned in this region and mining plan for further environmental protection.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132448297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved Compressive Tracking in Surveillance Scenes 改进了监视场景的压缩跟踪
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.176
Huazhong Xu, Fei Yu
{"title":"Improved Compressive Tracking in Surveillance Scenes","authors":"Huazhong Xu, Fei Yu","doi":"10.1109/ICIG.2013.176","DOIUrl":"https://doi.org/10.1109/ICIG.2013.176","url":null,"abstract":"In this paper we present a novel method for object tracking in surveillance scenes. We improve the 'ViBe' background subtraction algorithm by adding the scale invariant local ternary pattern operator 'SILTP' so as to detect moving shadow and increase the accuracy of segmentation. An object tracking method based on Compressive Tracking and Kalman filter by using the result of background subtraction is presented, improve the accuracy and robustness of the tracking system in surveillance scenes.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133906479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
A Background Correction Method Based on Lazy Snapping 一种基于延迟捕捉的背景校正方法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.35
Yuezun Li, Xue-qing Li
{"title":"A Background Correction Method Based on Lazy Snapping","authors":"Yuezun Li, Xue-qing Li","doi":"10.1109/ICIG.2013.35","DOIUrl":"https://doi.org/10.1109/ICIG.2013.35","url":null,"abstract":"Interactive segmentation is greatly practical importance in image processing and very useful for selecting objects of interest in images. This is still a topic of much study. In this paper we propose a simple background correction method, it can eliminate some regions which is confused as objects of interest. Our method is suitable for the case that background is rich and foreground has small color differences. This method is based on Lazy Snapping and combining Gaussian Mixture Model (GMM) with K-means. We show that the proposed method increases segmentation accuracy in the same user-provided scribbles and reduce effort on the part of the user.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134185172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
An Automatic Relative Radiometric Correction Method Based on Slow Feature Analysis 基于慢特征分析的自动相对辐射校正方法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.23
Chen Wu, Bo Du, Liangpei Zhang
{"title":"An Automatic Relative Radiometric Correction Method Based on Slow Feature Analysis","authors":"Chen Wu, Bo Du, Liangpei Zhang","doi":"10.1109/ICIG.2013.23","DOIUrl":"https://doi.org/10.1109/ICIG.2013.23","url":null,"abstract":"Radiometric correction is very important for temporal remote sensing images analysis. The key of relative radiometric correction is to accurately select pseudo-invariant features (PIFs). This process should be automatic. Slow feature analysis is a new learning algorithm to extract invariant feature from input signals. It is appreciate to separate the unchanged pixels. We apply iteration process to assign high weights to unchanged pixels. After convergence, the linear function is calculated directly with all the pixels and their weights. The experiment demonstrates that our automatic relative radiometric correction method can get a good performance.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133615033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Accelerated Visual Hulls of Complex Objects Using Contribution Weights 使用贡献权重加速复杂物体的视觉外壳
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.139
Chuhua Huang, Dongming Lu, C. Diao
{"title":"Accelerated Visual Hulls of Complex Objects Using Contribution Weights","authors":"Chuhua Huang, Dongming Lu, C. Diao","doi":"10.1109/ICIG.2013.139","DOIUrl":"https://doi.org/10.1109/ICIG.2013.139","url":null,"abstract":"The surface-based approaches modeling from silhouettes are a popular and useful topic. Intersecting operator of line segments is an essential and crucial operation in these approaches. It consists of two phases: intersecting operator in 2D and overlap testing of the set of line segments in real domain. The former has made considerable progresses while the latter remains insignificant status when there are complex objects in the scene. In order to accelerate the speed of reconstructing visual hulls, this paper addresses the problem and proposes a novel approach based on contribution weights which reflect viewing ray's contributions to the visual hulls. Experimental results demonstrate that the novel approach can attain the promise.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129801372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A HSV-SILTP Based Shadow Suppression Approach for Moving Vehicle Extraction 基于HSV-SILTP的运动车辆阴影抑制方法
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.172
Yang Zhang, Huazhong Xu, Man Luo
{"title":"A HSV-SILTP Based Shadow Suppression Approach for Moving Vehicle Extraction","authors":"Yang Zhang, Huazhong Xu, Man Luo","doi":"10.1109/ICIG.2013.172","DOIUrl":"https://doi.org/10.1109/ICIG.2013.172","url":null,"abstract":"This paper introduces a real-time method to extract vehicles in road environment, and mainly includes four parts as follows: firstly, using Double Level background learning method to obtain a stable background image and get a rough vehicle area. Secondly, using HSV color space and texture characteristics of SILTP mixed constraint method to suppress the influence of shadow. Thirdly, using Energy Density Analysis to enhance the area-of-interest, and finally, showing some experimental results.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113977800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书