SIA OpenIR  > 光电信息技术研究室
Fusing Edges and Feature Points for Robust Target Tracking
Li W(李威); Shi ZL(史泽林); Yin J(尹健); Ding QH(丁庆海)
Department光电信息研究室
Conference NameInternational Symposium on Photoelectronic Detection and Imaging 2011 - Advances in Imaging Detectors and Applications
Conference DateMay 24-26, 2011
Conference PlaceBeijing, China
Author of SourcePhotoelect Technol Professional Comm, CSA, Tianjin Jinhang Inst Techn Phys, CASIC, Sci & Technol Low Light Level Night Vision Lab, Chinese Soc Astronaut, SPIE
Source PublicationINTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2011: ADVANCES IN IMAGING DETECTORS AND APPLICATIONS
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Publication PlaceBELLINGHAM
2011
Pages7 pp.
Indexed ByEI ; CPCI(ISTP)
EI Accession number20113714325877
WOS IDWOS:000295076300091
Contribution Rank1
ISSN0277-786X
ISBN978-0-81948-835-0
KeywordPoint-based Tracking Edge-based Tracking Texture Boundary Detection.
AbstractFeature points and object edges are two kinds of primitives which are frequently used in target tracking algorithms. Feature points can be easily localized in an image. Their correspondences between images can be detected accurately. They can adapt to wide baseline transformations. However, feature points are not so stable that they are fragile to changes in illumination and viewpoint. On the contrary, object edges are stable under a very wide range of illumination and viewpoint changes. Unfortunately, edge-based algorithms often fail in the presence of highly textured targets and clutter which produce too many irrelevant edges. We found that both edge-based and point-based tracking have failure modes which are complementary. Based on this analysis, we propose a novel tracking algorithm which fuses point and edge features. Our tracking algorithm uses feature points matching to track object first, and then uses the transformation parameters archived in the first step to initialize the edge tracking. By this means, our algorithm alleviates the disturbance of irrelevant edges. Then, we use the texture boundary detection algorithm to find the precise object boundary. Texture boundary detection is different from the conventional gradient-based edge detection which can directly compute the most probable location of a texture boundary on the search line. Therefore, it is very fast and can be incorporated into a real-time tracking algorithm. Experimental results show that our tracking algorithm has outstanding tracking accuracy and robustness.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/7983
Collection光电信息技术研究室
Corresponding AuthorLi W(李威)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School of Chinese Academy of Sciences, Beijing 100049, China
3.Key Laboratory Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
4.Research Institute of General Development and Demonstration of Equipment, Equipment of Air Force, Beijing 100076, China
Recommended Citation
GB/T 7714
Li W,Shi ZL,Yin J,et al. Fusing Edges and Feature Points for Robust Target Tracking[C]//Photoelect Technol Professional Comm, CSA, Tianjin Jinhang Inst Techn Phys, CASIC, Sci & Technol Low Light Level Night Vision Lab, Chinese Soc Astronaut, SPIE. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2011:7 pp..
Files in This Item: Download All
File Name/Size DocType Version Access License
HYQW000612.pdf(1867KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li W(李威)]'s Articles
[Shi ZL(史泽林)]'s Articles
[Yin J(尹健)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li W(李威)]'s Articles
[Shi ZL(史泽林)]'s Articles
[Yin J(尹健)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li W(李威)]'s Articles
[Shi ZL(史泽林)]'s Articles
[Yin J(尹健)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: HYQW000612.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

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