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Object detection using motion or sound sensing

Author: Harikrishna Muriki
Publisher: [Long Beach, California] : California State University, Long Beach, 2011.
Dissertation: M.S. California State University, Long Beach 2011
Series: California State University, Long Beach.; Master's thesis collection, Dept. of Computer Engineering and Computer Science.
Edition/Format:   Thesis/dissertation : Thesis/dissertation : English
Summary:
Abstract: The main purpose of this work is to implement a new framework for the detection of activities based on the temporal difference method. This system mainly consists of a unique interface with an integrated camera and microphone, for the purpose of monitoring moving objects and sound respectively. The proposed system also detracts one common flaw in motion detection based on the frame differencing technique,  Read more...
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Details

Material Type: Thesis/dissertation, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Harikrishna Muriki
ISBN: 9781267148988 1267148985
OCLC Number: 1084293333
Description: vii, 65 leaves : ill.
Series Title: California State University, Long Beach.; Master's thesis collection, Dept. of Computer Engineering and Computer Science.
Responsibility: by Harikrishna Muriki.

Abstract:

Abstract: The main purpose of this work is to implement a new framework for the detection of activities based on the temporal difference method. This system mainly consists of a unique interface with an integrated camera and microphone, for the purpose of monitoring moving objects and sound respectively. The proposed system also detracts one common flaw in motion detection based on the frame differencing technique, with the fusion of background subtraction technique and frame difference method. With the ever increasingly heightened sense of safety consciousness in today's society, video surveillance systems have been widely used in several fields, such as military affairs, public space security monitoring, and even in some private homes. The detection of the occurrence of activities is the most basic and important part of video surveillance systems, as such its quality and robustness warrant special attention and continuous research. The proposed system was implemented using MATLAB 7.10.0, and the results are found to be effective and robust.

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