Tracking with Particle Filter for High dimensional Observation and State Spaces is popular PDF and ePub book, written by Séverine Dubuisson in 2015-01-05, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Tracking with Particle Filter for High dimensional Observation and State Spaces can be Read Online from any device for your convenience.
Tracking with Particle Filter for High dimensional Observation and State Spaces Book PDF Summary
This title concerns the use of a particle filter framework to track objects defined in high-dimensional state-spaces using high-dimensional observation spaces. Current tracking applications require us to consider complex models for objects (articulated objects, multiple objects, multiple fragments, etc.) as well as multiple kinds of information (multiple cameras, multiple modalities, etc.). This book presents some recent research that considers the main bottleneck of particle filtering frameworks (high dimensional state spaces) for tracking in such difficult conditions.
Detail Book of Tracking with Particle Filter for High dimensional Observation and State Spaces PDF
- Author : Séverine Dubuisson
- Release : 05 January 2015
- Publisher : John Wiley & Sons
- ISBN : 9781119054054
- Genre : Technology & Engineering
- Total Page : 222 pages
- Language : English
- PDF File Size : 11,5 Mb
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