CASIA OpenIR  > 毕业生  > 硕士学位论文
Alternative TitleResearch on Classification Based Visual Tracking Algorithm
Thesis Advisor唐明
Degree Grantor中国科学院研究生院
Place of Conferral中国科学院自动化研究所
Degree Discipline模式识别与智能系统
Keyword分类 跟踪 图像片 相对空间 距离学习 稳定性 准确度 Classification Tracking Image Patch Boosting Relative Space Local Distance Accuracy Stability
Other AbstractThe technology of visual tracking has promising future in applications of video surveillance, intelligent traffic control, human-computer interaction, video compress etc. It is a popular research topic in Computer Vision. In this dissertation, we focus on the fundamental research of classification based tracking algorithm. Through reviewing recent tracking algorithms, we propose two classification based algorithms. And the content of this dissertation is summarized as below. Firstly, most of tracking algorithms, especially those published in recent five years are reviewed. Some are analyzed with both advantages and disadvantages, which helps us to make improvements and devise our own algorithms. Secondly, under the classification based tracking framework, we focus on constructing accurate and robust classifiers. Two methods are proposed, one is boosting the relative spaces, and the other is based on local distance learning. Thirdly, a group of criteria for measuring the accuracy and stability of tracking algorithm is proposed initially. We do experiments on many sequences with different tracking algorithms. Through comparison based on our criteria, we show the superior performance of our tracking algorithms.
Other Identifier200628014628027
Document Type学位论文
Recommended Citation
GB/T 7714
陈铎文. 基于分类的视觉跟踪算法研究[D]. 中国科学院自动化研究所. 中国科学院研究生院,2009.
Files in This Item:
File Name/Size DocType Version Access License
CASIA_20062801462802(2467KB) 暂不开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[陈铎文]'s Articles
Baidu academic
Similar articles in Baidu academic
[陈铎文]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[陈铎文]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.