UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDY06188


Registration ID:
233208

Page Number

1131-1141

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Title

Spatiotemporal Saliency Detection using Expert System and Alarm Generation

Abstract

In this growing era of scientific technology, Security is one of the major aspect where science has attained a good position .Saliency detection is one the most popular security aspect which is accepted widely as it works on the detection of faulty object or visually attractive areas in the video and images. These days almost all the daily visiting areas are under surveillance, so everywhere the crafting of videos and images is happening automatically.. It is an aspect of exploring visual attention from a computer's vision viewpoint. Being a human being it is normal that while watching image or video, we get attracted to some portion of the image frequently. Though other portion are also available but they are less attractive .This approach comes under attention. Detecting these areas of attention is known as saliency detection. Saliency detection has many applications, like image segmentation, object recognition, content-based retargeting, image retrieval, adaptive image display, and advertising design. In this paper, we will be discussing the novel approach of detection of spatiotemporal saliency for video using fuzzy expert system has been proposed. This paper proposes an architectural improvement to the existing systems, by integrating the concept of an expert system to it. This paper proposes a spatiotemporal saliency detection system, which generates an alarm every time a new object is detected. This system which uses an expert system to keep an eye on that is the detected object exists in the knowledge database or not . The system generates an alarm if the salient object detected is not already present in the knowledgebase, i.e., if the object detected is new.

Key Words

Spatiotemporal Saliency Detection, Fuzzy Logic, Expert System, Alarm Generation

Cite This Article

"Spatiotemporal Saliency Detection using Expert System and Alarm Generation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1131-1141, January 2019, Available :http://www.jetir.org/papers/JETIRDY06188.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Spatiotemporal Saliency Detection using Expert System and Alarm Generation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1131-1141, January 2019, Available at : http://www.jetir.org/papers/JETIRDY06188.pdf

Publication Details

Published Paper ID: JETIRDY06188
Registration ID: 233208
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 1131-1141
Country: -, -, - .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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