Scale adaptive correlation tracking based on convolutional features

Wenjing Kang; Xinyou Li; Gongliang Liu; Shaobo Wang

doi:10.1007/s11276-017-1655-2

ScienceGate Book Chapters

JOURNAL ARTICLE

Scale adaptive correlation tracking based on convolutional features

Wenjing Kang Xinyou Li Gongliang Liu Shaobo Wang

Year: 2018 Journal: Wireless Networks Vol: 25 (7)Pages: 3715-3725 Publisher: Springer Science+Business Media

DOI: 10.1007/s11276-017-1655-2

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Convolutional neural network Pattern recognition (psychology) Motion blur Computer vision Classifier (UML) Benchmark (surveying) Tracking (education) Robustness (evolution) Sliding window protocol Window (computing) Image (mathematics)

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.01

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Scale adaptive correlation tracking based on convolutional features

Metrics

Topics

Related Documents

Multi-scale correlation tracking with convolutional features

Online Scale Adaptive Visual Tracking Based on Multilayer Convolutional Features

Target Scale Adaptive Robust Tracking Based on Fusion of Multilayer Convolutional Features

Convolutional Features for Correlation Filter Based Visual Tracking

Visual Tracking Algorithm Based on Adaptive Convolutional Features