CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
High-Speed and Accurate Scale Estimation for Visual Tracking with Gaussian Process Regression
Linyu Zheng1,2; Ming Tang1,2; Yingying Chen1,2; Jinqiao Wang1,2; Hanqing Lu1,2
2020-07
Conference NameIEEE International Conference on Multimedia and Expo
Pages1-6
Conference Date2020-7
Conference PlaceLondon, United Kingdom
Abstract

Recent years have seen remarkable progress in the visual tracking domain. However, it remains a challenging task to estimate the scale of target efficiently and accurately. In this paper, we present a novel and high-performance scale estimation approach for tracking-by-detection framework. The proposed approach, named GPAS, formulates the scale estimation as a Gaussian process regression problem based on scale pyramid representation. In general, it enjoys the following there advantages. (i) Efficient. It only takes 2ms to estimate the scale of a target on a single CPU. (ii) Accurate. Without bells and whistles, its accuracy surpasses all previous hand-crafted features based scale estimation methods by large margins. (iii) Generic. It can be incorporated into any tracking-by-detection framework based trackers easily. Experiment results show that compared to the latest and classical scale estimation method, fDSST, our GPAS significantly improves the performance by 6.2% in mean distance precision, 8.9% in mean overlap precision, and 5.5% in mean AUC on 28 sequences of OTB2013 with significant scale variations.

Indexed ByEI
Funding ProjectNational Natural Science Foundation of China[61772527] ; National Natural Science Foundation of China[61806200] ; National Nature Science Foundation of China[61876086]
Language英语
Sub direction classification目标检测、跟踪与识别
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/44852
Collection模式识别国家重点实验室_图像与视频分析
Corresponding AuthorLinyu Zheng
Affiliation1.NLPR
2.CASIA
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China;  Institute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China;  Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Linyu Zheng,Ming Tang,Yingying Chen,et al. High-Speed and Accurate Scale Estimation for Visual Tracking with Gaussian Process Regression[C],2020:1-6.
Files in This Item:
File Name/Size DocType Version Access License
HIGH-SPEED AND ACCUR(1144KB)会议论文 开放获取CC BY-NC-SAView
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Linyu Zheng]'s Articles
[Ming Tang]'s Articles
[Yingying Chen]'s Articles
Baidu academic
Similar articles in Baidu academic
[Linyu Zheng]'s Articles
[Ming Tang]'s Articles
[Yingying Chen]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Linyu Zheng]'s Articles
[Ming Tang]'s Articles
[Yingying Chen]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: HIGH-SPEED AND ACCURATE SCALE ESTIMATION FOR VISUAL TRACKING WITH GAUSSIAN PROCESS REGRESSION.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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