Multi‐Traffic Targets Tracking Based on an Improved Structural Sparse Representation with Spatial‐Temporal Constraint-Reference-Cited by-同舟云学术

Multi‐Traffic Targets Tracking Based on an Improved Structural Sparse Representation with Spatial‐Temporal Constraint

Author:

YANG Honghong¹²,SHANG Junchao¹,LI Jingjing¹,ZHANG Yumei¹²,WU Xiaojun¹²³

Affiliation:

1. Key Laboratory of Modern Teaching TechnologyMinistry of EducationShaanxi Normal UniversityXi’an710062China

2. School of Computer ScienceShaanxi Normal UniversityXi’an710062China

3. School of Journalism and CommunicationShaanxi Normal UniversityXi’an710062China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

Reference32 articles.

2. Decentralized sensor selection based on multi‐target MS‐OSPA lower bound;Lian F;Acta Electronica Sinica,2019

4. A robust and accurate object tracking algorithm based on convolutional neural network;Li K;Acta Electronica Sinica,2018

5. Robust visual tracking based on sub‐model updating of multiple apparent features;Fan S;Acta Electronica Sinica,2018

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