目标检测算法文献2.0

时间:2016-08-18 11:13:13
【文件属性】:

文件名称:目标检测算法文献2.0

文件大小:28.9MB

文件格式:RAR

更新时间:2016-08-18 11:13:13

目标检测

这里是运动目标检测相关算法的集合,具体的介绍可以参考我的主页上的博文:运动目标检测算法文献阅读笔记


【文件预览】:
motion detection V2.0
----Robust Object Detection Via Soft Cascade.pdf(794KB)
----Detected motion classification with adouble-background and aNeighborhood-based difference.pdf(590KB)
----The medial feature detector-Stable regions from image boundaryiccv11b.pdf(4.19MB)
----Efficient hierarchical method for background subtraction.pdf(939KB)
----Making background subtraction robust to sudden illumination changes.pdf(3.67MB)
----Using Partial Edge Contour Matches for Efficient Object Category Localization-ECCV_2010_DETECTION.pdf(1.14MB)
----Object detection and localization using local and globalfeatures.pdf(708KB)
----Moving object segmentation by background subtraction and temporal analysis.pdf(839KB)
----Backgroundmodeling by subspace learning on spatio-temporal patches.pdf(2.17MB)
----Multi-layer background subtraction based on color and texture.PDF(927KB)
----An Efficient Region-Based Background Subtraction Technique.pdf(2.66MB)
----Fusion of background estimation approaches for motion detection in non-static backgrounds.PDF(512KB)
----Optical Flow-Object Segmentation by Long Term Analysis of Point Trajectories -brox_eccv10.pdf(1019KB)
----Spatial-Temporal patches for night background modeling by subspace learning.PDF(367KB)
----Real-time background subtraction in dynamic scene_ICCV09.pdf(407KB)
----Learning color and locality cues for moving object detection and segmentation.pdf(2.92MB)
----Multi-Camera-Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking.pdf(464KB)
----Object Detection Using Local Difference Patterns.pdf(712KB)
----Importance-Learning a scene background model via classification.PDF(5.02MB)
----pami_Density-based multi-feature background subtraction with SVM.pdf(509KB)
----Statistical modeling of complex backgrounds for foreground object detection.pdf(2.7MB)

网友评论

  • 非常全的文献,打算下下来好好研读!
  • 感谢楼主分享,今年研一,在做这方面的研究,楼主的资料很有用,争取能搞篇文章出来,哈哈
  • 感谢楼主分享,今年研一,在做这方面的研究,楼主的资料很有用,争取能搞篇文章出来,哈哈
  • 感谢楼主分享,今年研一,在做这方面的研究,楼主的资料很有用,争取能搞篇文章出来,哈哈
  • 很赞,找了好久的论文,很给力,谢谢
  • 很赞,找了好久的论文,很给力,谢谢。
  • 非常全的资料,多谢分享。
  • 全是英文文献。。
  • 非常好,好些论文都是付费下载的,多谢楼主分享。