International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,March 2016,

Topic : A Review on a Person Cross Domain Re Identification Based Adaptive Ranking Support Vector Machines (AdaRSVMs)

Authors:V .Hemanth Kumar || Y.Penchalaiah, Pushpalatha

Abstract:An adaptive ranking support vector machines (AdaRSVMs) method is used for re identification under target domain cameras without person labels. It addresses a new person re identification problem without label information of persons under non overlapping target cameras. Given the matched (positive) and unmatched (negative) image pairs from source domain cameras, as well as unmatched (negative) and unlabeled image pairs from target domain cameras, To overcome the problems introduced due to the absence of matched (positive) image pairs in the target domain, we relax the discriminative constraint to a necessary condition only relying on the positive mean in the target domain. To estimate the target positive mean, we make use of all the available data from source and target domains as well as constraints in person re identification. Inspired by adaptive learning methods, a new discriminative model with high confidence in target positive mean and low confidence in v target negative image pairs is developed by refining the distance model learnt from the source domain. Experimental results show that the proposed AdaRSVM outperforms existing supervised or unsupervised, learning or non-learning re identification methods without using label information in target cameras. Moreover, our method achieves better re identification performance than existing domain adaptation methods derived under equal conditional probability assumption..

Keywords: Person re- identification, domain adaptation, Target positive mean, adaptive learning, ranking SVMs.

Download Paper


DOI: 01.1617/vol3iss3pid155


Related Articles

Design and Implementation of nRF Based Smart Home System Using IoT

Authors: J.Krishna Chaithanya || Dr. T. Ramashri

Doi : 01.1617/vol4iss3pid024

Volume4 ,March 2016.

Real-Time Vehicle Tracking Using GSM & GPS with Location Display on Google Maps Using Raspberry Pi

Authors: J.Krishna Chaithanya || Dr. T. Ramashri

Doi : 01.1617/vol4iss3pid025

Volume4 ,March 2016.

Obstacle Avoiding Intelligent Robot

Authors: Prof.S. B. Mandlik || Miss.Kshirsagar Snehal D , Miss. Gaikwad Jyoti B , Miss.Wagh Varsha S , Miss. Ingale komal M

Doi : 01.1617/vol4iss3pid026

Volume4 ,March 2016.

Increased Learning In Retinal Blood Vessel Segmentation Approach Based on Fuzzy-C Means Clustering and Mathematical Morphology

Authors: Naluguru Udaya Kumar || Tirumala Ramashri

Doi : 01.1617/vol4iss3pid027

Volume4 ,March 2016.

A Review on Atmospheric Effects on Free Space Optical Link

Authors: Shaik.Taj Mahaboob || A.Sree Madhuri

Doi : 01.1617/vol4iss3pid028

Volume4 ,March 2016.

Efficient Medical Image Compression based on Region of Interest

Authors: S. Muni Rathnam || T. Ramashri

Doi : 01.1617/vol4iss3pid029

Volume4 ,March 2016.

CBIR Based Crack Detection System for Surface Traffic

Authors: Dr.Abraham Mathew || Dr.S. Saravanan, Dr. P. Mohanaiah

Doi : 01.1617/vol4iss3pid030

Volume4 ,March 2016.

IOT Based Digital Notice Board

Authors: K.Dinesh || M.Siva Ramakrishna

Doi : 01.1617/vol4iss3pid031

Volume4 ,March 2016.

Automatic Monitoring and Controlling of Greenhouse System using Zigbee

Authors: G. Hima Bindu || K. Lokesh Krishna , K. Hemalatha

Doi : 01.1617/vol4iss3pid032

Volume4 ,March 2016.

Hybrid Image Classification using ACO with Fuzzy Logic for Textured and Non-Textured Images

Authors: Subba Rao K || Dr. Sambasivarao N , Dr. Sammulal P

Doi : 01.1617/vol4iss3pid033

Volume4 ,March 2016.



Editor-in-Chief

Editor Image

Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


View more

IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues


DOWNLOAD

Copy-Right Form Paper Template

ACCEPTANCE RATIO

ACCEPTANCE RATIO: 29.74%
ARTICLES PUBLISHED:0489
PAPER RECEIVED:01630
Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
Contact : info@ijerece.com

IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA