An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas

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...

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Bibliographic Details
Published in:TheScientificWorld 2014-01, Vol.2014 (2014), p.1-10
Main Authors: Sugumar, S. J., Jayaparvathy, R.
Format: Article
Language:English
Subjects:
Animal Migration - physiology
Animals
Automation
Construction
Crop damage
Databases, Factual
Elephantidae
Elephants
Elephants - physiology
Farms
Food
Forest management
Forests
Human beings
Humans
Identification systems
Image processing
Image Processing, Computer-Assisted - methods
Influence on nature
Methods
Population density
Water shortages
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Summary: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.
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2014/393958