RGB-T object tracking: Benchmark and baseline-Reference-Cited by-同舟云学术

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RGB-T object tracking: Benchmark and baseline

Published:2019-12 Issue: Volume:96 Page:106977
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Li Chenglong,Liang Xinyan,Lu Yijuan,Zhao Nan,Tang Jin

Funder

NSFC

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Anhui University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference50 articles.

1. Learning collaborative sparse representation for grayscale-thermal tracking;Li;IEEE Trans. Image Process.,2016

2. Background-subtraction using contour-based fusion of thermal and visible imagery;Davis;Comput. Vis. Image Underst.,2007

3. An iterative integrated framework for thermal-visible image registration, sensor fusion, and people tracking for video surveillance applications;Torabi;Comput. Vis. Image Underst.,2012

4. Sparse representation over discriminative dictionary for stereo matching;Yin;Pattern Recognit,2017

5. Multispectral pedestrian detection: benchmark dataset and baseline;Hwang,2015

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