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Moving Object Detection Using Background Subtraction Algorithms by Priyank Shah (2014, Trade Paperback)

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Master's Thesis from the year 2014 in the subject Computer Science - Theory, grade: 9.2, language: English, abstract: In this thesis we present an operational computer video system for moving object detection and tracking . The system captures monocular frames of background as well as moving object and to detect tracking and identifies those moving objects. An approach to statistically modeling of moving object developed using Background Subtraction Algorithms. There are many methods proposed for Background Subtraction algorithm in past years. Background subtraction algorithm is widely used for real time moving object detection in video surveillance system. In this paper we have studied and implemented different types of methods used for segmentation in Background subtraction algorithm with static camera. This paper gives good understanding about procedure to obtain foreground using existing common methods of Background Subtraction, their complexity, utility and also provide basics which will useful to improve performance in the future . First, we have explained the basic steps and procedure used in vision based moving object detection. Then, we have debriefed the common methods of background subtraction like Simple method, statistical methods like Mean and Median filter, Frame Differencing and W4 System method, Running Gaussian Average and Gaussian Mixture Model and last is Eigenbackground Model. After that we have implemented all the above techniques on MATLAB software and show some experimental results for the same and compare them in terms of speed and complexity criteria. Also we have improved one of the GMM algorithm by combining it with optical flow method, which is also good method to detect moving elements.

Product Identifiers

Publisher
GRIN Verlag Gmbh
ISBN-10
3656672679
ISBN-13
9783656672678
eBay Product ID (ePID)
246038001

Product Key Features

Author
Priyank Shah
Publication Name
Moving Object Detection Using Background Subtraction Algorithms
Format
Trade Paperback
Language
English
Publication Year
2014
Type
Textbook
Number of Pages
64 Pages

Dimensions

Item Length
8.3in
Item Height
0.1in
Item Width
5.8in
Item Weight
3.4 Oz

Additional Product Features

Target Audience
Trade
Topic
General
Illustrated
Yes
Genre
Computers

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Moving Object Detection Using Background Subtraction Algorithms by Priyank Shah (2014, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Textbooks

Diagnostic and Statistical Manual of Mental Disorders DSM-5-TR by American Psychiatric Association (2022, Trade Paperback)

Leadership : Theory and Practice by Peter G. Northouse (2021, Trade Paperback, Revised edition)

Teaching Good Learner Repertoires by Steve Ward (2013, Trade Paperback)

Self Heal by Design : The Role of Micro-organisms for Health by Barbara O'Neill (2018, Trade Paperback)

Research Design : Qualitative, Quantitative, and Mixed Methods Approaches by J. David Creswell and John W. Creswell (2022, Trade Paperback)

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (2017, Trade Paperback)

Cognitive Behavior Therapy : Basics and Beyond by Judith S. Beck (2020, Hardcover)

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