Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

SELF-PACED LEAST SQUARE SEMI-COUPLED DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION

Abstract: 

Person re-identification aims to match people across disjoint camera views. It has been reported that Least Square
Semi-Coupled Dictionary Learning (LSSCDL) based samplespecific SVM learning framework has obtained the state of
the art performance. However, the objective function of the LSSCDL, the algorithm of learning the pairs (feature, weight)
dictionaries and the mapping function between feature space and weight space, is non-convex, which usually result in
suboptimal solutions with the bad local minima of the objective function. To tackle with this constraint, we present
Self-Paced Least Square Semi-Coupled Dictionary Learning (SLSSCDL) algorithm, which is inspired by previous
works on self-paced learning, a framework able to improve the accuracy of conventional learning models by presenting
the training data in a meaningful order to get a better local minima, i.e. easy samples are provided first. In addition, a
graph based regularization term is also introduced to preserve the local similarities in each space. Experimental results
show that SLSSCDL gains competitive performance on two challenging datasets.

up
0 users have voted:

Paper Details

Authors:
Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang
Submitted On:
7 September 2017 - 11:10am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Wei Xu
Paper Code:
#2789
Document Year:
2017
Cite

Document Files

weixu_ICIP2017poster.pdf

(24 downloads)

Subscribe

[1] Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang, "SELF-PACED LEAST SQUARE SEMI-COUPLED DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1854. Accessed: Nov. 20, 2017.
@article{1854-17,
url = {http://sigport.org/1854},
author = {Wei Xu; Haoyuan Chi; Lei Zhou; Xiaolin Huang; Jie Yang },
publisher = {IEEE SigPort},
title = {SELF-PACED LEAST SQUARE SEMI-COUPLED DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION},
year = {2017} }
TY - EJOUR
T1 - SELF-PACED LEAST SQUARE SEMI-COUPLED DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION
AU - Wei Xu; Haoyuan Chi; Lei Zhou; Xiaolin Huang; Jie Yang
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1854
ER -
Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang. (2017). SELF-PACED LEAST SQUARE SEMI-COUPLED DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION. IEEE SigPort. http://sigport.org/1854
Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang, 2017. SELF-PACED LEAST SQUARE SEMI-COUPLED DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION. Available at: http://sigport.org/1854.
Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang. (2017). "SELF-PACED LEAST SQUARE SEMI-COUPLED DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION." Web.
1. Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang. SELF-PACED LEAST SQUARE SEMI-COUPLED DICTIONARY LEARNING FOR PERSON RE-IDENTIFICATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1854