Robust object tracking based on adaptive templates matching via the fusion of multiple features

Zhiyong Li; Song Gao; Ke Nai

doi:10.1016/j.jvcir.2017.01.012

ScienceGate Book Chapters

JOURNAL ARTICLE

Robust object tracking based on adaptive templates matching via the fusion of multiple features

Zhiyong Li Song Gao Ke Nai

Year: 2017 Journal: Journal of Visual Communication and Image Representation Vol: 44 Pages: 1-20 Publisher: Elsevier BV

DOI: 10.1016/j.jvcir.2017.01.012

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Computer vision Computer science Histogram Robustness (evolution) Template Video tracking Pattern recognition (psychology) Template matching Orientation (vector space) Matching (statistics) Fusion Feature (linguistics) Object (grammar) Image (mathematics) Mathematics

Metrics

Cited By

2.92

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robust object tracking based on adaptive templates matching via the fusion of multiple features

Metrics

Citation History

Topics

Related Documents

Object Tracking Based on Multiple Features Adaptive Fusion

Object Tracking Based on Multiple Features Adaptive Fusion

Multiple object tracking with adaptive multi-features fusion and improved learnable graph matching

Robust Object Tracking Using Adaptive Multi-Features Fusion Based on Local Kernel Learning

Robust object tracking based on adaptive multicue feature fusion