Paper Info
Title
Person re-identification via region-of-interest based features
Abstract
Person re-identification is still a challenging task due to large visual appearance variations caused by illumination, background, viewpoints and poses in multi-camera surveillance. To address these challenges, many methods have been proposed. In this paper, we present an efficient method, called Region-of-Interest based Features (ROIF), via combining textural and chromatic features. It consists of two main phases - region-of-interest exploration from image and features extraction from ROI. Experimental results on the database VIPeR show that our method can yield promising accuracy with a quite cheap time cost.
Year
DOI
Venue
2014
10.1109/VCIP.2014.7051551
VCIP
Keywords
Field
DocType
chromatic features,roif,image extraction,lighting,textural features,features extraction,surveillance,person re-identification,viper,feature extraction,multicamera surveillance,cameras,region-of-interest based features,phase-region-of-interest exploration,texture,region-of-interest,image texture,color,multi-camera,region of interest
Computer vision,Multi camera,Computer graphics (images),Chromatic scale,Computer science,Viewpoints,Artificial intelligence,Region of interest,Visual appearance
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Jianlou Si131.38
Honggang Zhang244033.22
Chun-Guang Li331017.35