An evolutionary particle filter with the immune genetic algorithm for intelligent video target tracking

DOI10.1016/J.CAMWA.2011.06.050zbMath1231.94012OpenAlexW2084869185MaRDI QIDQ660943

Xiao Liang, Kuang-Rong Hao, Yong-Sheng Ding, Hua Han

Publication date: 5 February 2012

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2011.06.050

zbMATH Keywords

target trackingparticle filterimmune genetic algorithmintelligent surveillancere-samplingsample impoverishment

Mathematics Subject Classification ID

Non-Markovian processes: estimation (62M09) Applications of statistics in engineering and industry; control charts (62P30) Nonparametric statistical resampling methods (62G09) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Detection theory in information and communication theory (94A13)

Related Items (3)

Closed-form FIR filter design with accurately controllable cut-off frequency ⋮ Monocular vision based 6D object localization for service robot's intelligent grasping ⋮ Particle filter for state estimation of jump Markov nonlinear system with application to multi-targets tracking

Cites Work

• Color image segmentation using adaptive mean shift and statistical model-based methods
• Realization of an autonomous integrated suite of strapdown astro-inertial navigation systems using unscented particle filtering
• Sequential Monte Carlo Methods for Dynamic Systems

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