An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas
Joint Authors
Sugumar, S. J.
Jayaparvathy, R.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Human-elephant conflict is a major problem leading to crop damage, human death and injuries caused by elephants, and elephants being killed by humans.
In this paper, we propose an automated unsupervised elephant image detection system (EIDS) as a solution to human-elephant conflict in the context of elephant conservation.
The elephant’s image is captured in the forest border areas and is sent to a base station via an RF network.
The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms.
A GSM message is sent to the forest officials indicating that an elephant has been detected in the forest border and is approaching human habitat.
We propose an optimized distance metric to improve the image retrieval time from the database.
We compare the optimized distance metric with the popular Euclidean and Manhattan distance methods.
The proposed optimized distance metric retrieves more images with lesser retrieval time than the other distance metrics which makes the optimized distance method more efficient and reliable.
American Psychological Association (APA)
Sugumar, S. J.& Jayaparvathy, R.. 2014. An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1049445
Modern Language Association (MLA)
Sugumar, S. J.& Jayaparvathy, R.. An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1049445
American Medical Association (AMA)
Sugumar, S. J.& Jayaparvathy, R.. An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1049445
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049445