杨欣

Associate Professor  

Education Level:东南大学

Degree:Doctoral Degree in Engineering

School/Department:College of Automation Engineering

Discipline:Pattern Recognition and Intelligent Systems. Control Science and Engineering

Business Address:南京航空航天大学将军路校区自动化学院4号楼404室

Contact Information:Email: yangxin@nuaa.edu.cn

E-Mail:


Paper Publications

Image segmentation and proto-objects detection based visual tracking

Hits:

Affiliation of Author(s):自动化学院

Journal:OPTIK

Key Words:Visual tracking Proto-objects detection PLSA model Segmentation approaches

Abstract:Considering the phenomenon that the traditional visual tracking methods are prone to drift in the process of tracking, we propose a visual tracking approach based by image segmentation and proto-objects detection in this paper. Firstly, according to combining several segmentation approaches and topic model, the proto-objects are detected for a given image sequence. Then the final target position is given on the basis of proto-objects information. The coinstantaneous tracking of these proto-objects improves computational efficiency and tracking robustness. Detailed experimental results show that the proposed method perform better than the state of the art in anti-occlusion and illumination change. (C) 2016 Elsevier GmbH. All rights reserved.

ISSN No.:0030-4026

Translation or Not:no

Date of Publication:2017-01-01

Co-author:Zhou, Yanpei,Zhou Dake,Hu, Yinji

Correspondence Author:yx

Pre One:基于深度网络分级特征图的图像超分辨率重建

Next One:Target tracking based on improved accelerated gradient under tracking-learning-detection framework