Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24448
Title: Certain soft computing techniques for detecting and tracking of moving vehicles
Researcher: Senthil Kumar, T
Guide(s): Sivanandam, S N
Keywords: Blob extraction method
Eigenfeature regularization and extraction
Information and communication engineering
Scale invariant feature transform
Soft computing
Speeded up robust features
Support vector machines
Tracking of moving vehicles
Upload Date: 2-Sep-2014
University: Anna University
Completed Date: 01/10/2012
Abstract: Deployment of effective surveillance and security measures is important in today s scenario The system designed to handle the surveillance must be able to provide access and track the movement of different types of vehicles and people entering the secured premises to avoid any mishap There are many existing approaches which are used for tracking objects Edge matching Divide and Conquer search Gradient matching Histograms of receptive field responses Pose clustering Scale Invariant Feature Transform Speeded Up Robust Features are some of the approaches applied All these approaches are either appearance based or feature based methods They have certain drawbacks in one way or the other when it comes to real time application So there is a need for creating a new system that extracts and tracks objects using blob extraction method In the first phase of the work the thesis proposes a modified approach for car detection and classification to a whole new level by devising a system that takes the video of a vehicle as input detects and classifies the vehicle based on its make and model It takes into consideration four prominent features namely Logo of vehicle its number plate colour and shape
Pagination: xxvi, 165p.
URI: http://hdl.handle.net/10603/24448
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File78.28 kBAdobe PDFView/Open
02_certificates.pdf90.21 kBAdobe PDFView/Open
03_abstract.pdf245.9 kBAdobe PDFView/Open
04_acknowledgement.pdf71.93 kBAdobe PDFView/Open
05_contents.pdf942.67 kBAdobe PDFView/Open
06_chapter1.pdf1.49 MBAdobe PDFView/Open
07_chapter2.pdf2.18 MBAdobe PDFView/Open
08_chapter3.pdf7.8 MBAdobe PDFView/Open
09_chapter4.pdf11.85 MBAdobe PDFView/Open
10_chapter5.pdf8.78 MBAdobe PDFView/Open
11_chapter6.pdf1.42 MBAdobe PDFView/Open
12_chapter7.pdf350.99 kBAdobe PDFView/Open
13_references.pdf916.47 kBAdobe PDFView/Open
14_publications.pdf78.17 kBAdobe PDFView/Open
15_vitae.pdf64.08 kBAdobe PDFView/Open


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