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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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/393958 |
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| author | S. J. Sugumar R. Jayaparvathy |
| author_facet | S. J. Sugumar R. Jayaparvathy |
| author_sort | S. J. Sugumar |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ee924849f8154faaa60d2f063dcb1b20 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ee924849f8154faaa60d2f063dcb1b202025-02-03T01:31:06ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/393958393958An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border AreasS. J. Sugumar0R. Jayaparvathy1Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Avinashi Road, Civil Aerodrome PO, Coimbatore, Tamil Nadu 641 014, IndiaDepartment of Electronics and Communication Engineering, SSN College of Engineering, Kalavakkam, Old Mahabalipuram Road, Chennai, Tamil Nadu 603 110, IndiaHuman-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.http://dx.doi.org/10.1155/2014/393958 |
| spellingShingle | S. J. Sugumar R. Jayaparvathy An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas The Scientific World Journal |
| title | An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas |
| title_full | An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas |
| title_fullStr | An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas |
| title_full_unstemmed | An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas |
| title_short | An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas |
| title_sort | improved real time image detection system for elephant intrusion along the forest border areas |
| url | http://dx.doi.org/10.1155/2014/393958 |
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