A hybrid gravitational search algorithm with swarm intelligence and deep convolutional feature for object tracking optimization-Reference-Cited by-同舟云学术

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A hybrid gravitational search algorithm with swarm intelligence and deep convolutional feature for object tracking optimization

Published:2018-05 Issue: Volume:66 Page:319-329
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Kang Kyuchang,Bae Changseok^ORCID,Yeung Henry Wing Fung,Chung Yuk Ying

Funder

National Research Foundation of KoreaNational Research Foundation of Korea (NRF)

Publisher

Elsevier BV

Subject

Software

Reference56 articles.

1. Video object tracking using adaptive Kalman filter;Weng;J. Vis. Commun. Image Represent.,2006

2. Object tracking based on genetic algorithm and Kalman filter;Wang,2008

3. Particle swarm optimization aided Kalman filter for object tracking;Ramakoti,2009

4. Object tracking by particle filtering techniques in video sequences;Mihaylova;Adv. Challenges Multisens. Data Inf. Process.,2007

5. Real time moving object tracking by particle filter;Islam,2008

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