Tracking of maneuvering and non-maneuvering targets simultaneously is a challenging task for multiple target tracking (MTT) system. Interacting multiple model (IMM) filtering has been used for tracking multiple targets successfully. IMM needs to evaluate model probability using an observation assigned to the track. We propose a tracking algorithm based on IMM which exploits the genetic algorithm for data association. Genetic algorithm performs nearest neighbor (NN) based data assignment. A mixture probability density function (pdf) for the likelihood of the observation is used for data assignment. © Springer-Verlag 2004.
CITATION STYLE
Zaveri, M. A., Merchant, S. N., & Desai, U. B. (2004). Genetic IMM_NN based tracking of multiple point targets in infrared image sequence. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3285, 17–25. https://doi.org/10.1007/978-3-540-30176-9_3
Mendeley helps you to discover research relevant for your work.