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

facebooktwittermailshare

PERSON RE-IDENTIFICATION USING VISUAL ATTENTION

Abstract: 

Despite recent attempts for solving the person re-identification problem, it remains a challenging task since a person’s appearance can vary significantly when large variations in view angle, human pose and illumination are involved. The concept of attention is one of the most interesting recent architectural innovations in neural networks. Inspired by that, in this paper we propose a novel approach based on using a gradient-based attention mechanism in deep convolution neural network for solving the person re-identification problem. Our model learns to focus selectively on parts of the input image for which the networks’ output is most sensitive to. Extensive comparative evaluations demonstrate that the proposed method outperforms state-of-the-art approaches, including both traditional and deep neural network-based methods on the challenging CUHK01 and CUHK03 datasets.

up
1 user has voted: Alireza Rahimpour

Paper Details

Authors:
Hairong Qi
Submitted On:
14 September 2017 - 4:12pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Dr. Hairong Qi
Paper Code:
2620
Document Year:
2017
Cite

Document Files

Poster

(128 downloads)

Subscribe

[1] Hairong Qi, "PERSON RE-IDENTIFICATION USING VISUAL ATTENTION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2046. Accessed: Sep. 23, 2018.
@article{2046-17,
url = {http://sigport.org/2046},
author = {Hairong Qi },
publisher = {IEEE SigPort},
title = {PERSON RE-IDENTIFICATION USING VISUAL ATTENTION},
year = {2017} }
TY - EJOUR
T1 - PERSON RE-IDENTIFICATION USING VISUAL ATTENTION
AU - Hairong Qi
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2046
ER -
Hairong Qi. (2017). PERSON RE-IDENTIFICATION USING VISUAL ATTENTION. IEEE SigPort. http://sigport.org/2046
Hairong Qi, 2017. PERSON RE-IDENTIFICATION USING VISUAL ATTENTION. Available at: http://sigport.org/2046.
Hairong Qi. (2017). "PERSON RE-IDENTIFICATION USING VISUAL ATTENTION." Web.
1. Hairong Qi. PERSON RE-IDENTIFICATION USING VISUAL ATTENTION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2046