DeepAI AI Chat
Log In Sign Up

Infrared target tracking based on proximal robust principal component analysis method

by   Chao Ma, et al.

Infrared target tracking plays an important role in both civil and military fields. The main challenges in designing a robust and high-precision tracker for infrared sequences include overlap, occlusion and appearance change. To this end, this paper proposes an infrared target tracker based on proximal robust principal component analysis method. Firstly, the observation matrix is decomposed into a sparse occlusion matrix and a low-rank target matrix, and the constraint optimization is carried out with an approaching proximal norm which is better than L1-norm. To solve this convex optimization problem, Alternating Direction Method of Multipliers (ADMM) is employed to estimate the variables alternately. Finally, the framework of particle filter with model update strategy is exploited to locate the target. Through a series of experiments on real infrared target sequences, the effectiveness and robustness of our algorithm are proved.


page 12

page 13

page 14

page 15


Global Weighted Tensor Nuclear Norm for Tensor Robust Principal Component Analysis

Tensor Robust Principal Component Analysis (TRPCA), which aims to recove...

Robust Principal Component Analysis for Background Estimation of Particle Image Velocimetry Data

Particle Image Velocimetry (PIV) data processing procedures are adversel...

Visual Processing by a Unified Schatten-p Norm and ℓ_q Norm Regularized Principal Component Pursuit

In this paper, we propose a non-convex formulation to recover the authen...

Principal component analysis for high-dimensional compositional data

Dimension reduction for high-dimensional compositional data plays an imp...

Exactly Robust Kernel Principal Component Analysis

We propose a novel method called robust kernel principal component analy...

High Speed Tracking With A Fourier Domain Kernelized Correlation Filter

It is challenging to design a high speed tracking approach using l1-norm...

Sparse Coding and Counting for Robust Visual Tracking

In this paper, we propose a novel sparse coding and counting method unde...