Object tracking by incremental structural learning of deformable parts

DOI10.1007/S00034-017-0546-1zbMath1426.94036OpenAlexW2604649324MaRDI QIDQ2003157

Suofei Zhang, Lingzhi Xing, Lin Zhou, Zhi-Xin Sun

Publication date: 16 July 2019

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-017-0546-1

zbMATH Keywords

object trackingdeformable part-based modelsdynamic conditional random fieldonline structural learning

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• Pegasos
• PASCAL VOC

Cites Work

• Pegasos: primal estimated sub-gradient solver for SVM
• Actuator fault compensation for nonlinear systems using adaptive tracking control
• Large-Scale Machine Learning with Stochastic Gradient Descent
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Online Object Tracking With Sparse Prototypes
• What Are We Tracking: A Unified Approach of Tracking and Recognition

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