Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24083
Title: Intelligent multiple objects tracking techniques for location updates with occlusion handling in a dynamic environment
Researcher: Priyadarshini J
Guide(s): Anandhakumar P
Keywords: Artificial Intelligence
Automatic Kalman Filter Bank
Information and communication engineering
Upload Date: 26-Aug-2014
University: Anna University
Completed Date: 01/12/2012
Abstract: This research thesis attempts to provide two signal processing based tracking mechanisms for single objects and two database based and two artificial intelligence based methods for multiple objects which have a dynamic background The Automatic Kalman Filter Bank proposed is based on signal processing technique that automates the filter selection KFB consists of three filters and is defined as an array of Linear Kalman Filter Extended Kalman Filter and Unscented Kalman Filter that separates the input newlinesignal into multiple components where each component is a sub section of the original signal and carries the prediction motion of the object The accuracy of filter selection is 98 3 The second signal processing based technique proposed is the Particle Grouping method that combines Kalman Filter and Particle Filter to track a single object The object detection is automated by pairing Haar training and discrete adaptive boost classifier In comparison with Particle Filter and Kalman Filter individually the combination of filters shows 30 increase in system performance newline newline
Pagination: xxvii, 258p.
URI: http://hdl.handle.net/10603/24083
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.26 kBAdobe PDFView/Open
02_certificate.pdf647.92 kBAdobe PDFView/Open
03_acknowledgement.pdf12.92 kBAdobe PDFView/Open
04_abstract.pdf10.72 kBAdobe PDFView/Open
05_acknowledgement.pdf6.61 kBAdobe PDFView/Open
06_contents.pdf68.05 kBAdobe PDFView/Open
07_chapter1.pdf624.9 kBAdobe PDFView/Open
08_chapter2.pdf221.01 kBAdobe PDFView/Open
09_chapter3.pdf1.61 MBAdobe PDFView/Open
10_chapter4.pdf1.63 MBAdobe PDFView/Open
11_chapter5.pdf1.48 MBAdobe PDFView/Open
12_chapter6.pdf368.48 kBAdobe PDFView/Open
13_chapter7.pdf12.3 kBAdobe PDFView/Open
14_references.pdf56.13 kBAdobe PDFView/Open
15_publications.pdf7.21 kBAdobe PDFView/Open
16_vitae.pdf5.43 kBAdobe PDFView/Open


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