Acoustic detection of elephant presence in noisy environments

Zeppelzauer, Matthias; Stöger, Angela S.; Breiteneder, Christian

doi:10.1145/2509896.2509900

Cited by 16 publications

(6 citation statements)

References 14 publications

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“…The limitations of the approach are twofold. First, the assumption that the formants are stationary during a rumble does not hold in practice which could be shown in experiments with our data (Zeppelzauer et al 2013). Rumbles exhibit partly strong temporal modulations (frequency changes) which are clearly reflected in the formant frequency tracks.…”

Section: Introductionmentioning

confidence: 77%

“…The first processing step is the enhancement of the input signals. We emphasize the contours by applying a two-dimensional (spectro-temporal) structure enhancement on the spectrogram (Zeppelzauer et al 2013). For this purpose, we consider the spectrogram as an image and compute a two-dimensional structure tensor across time and frequency.…”

Section: Methodsmentioning

confidence: 99%

“…This first makes parameter tuning obsolete and second allows the method to adapt autonomously to the present environment. The detector uses a novel method for signal enhancement to improve the signal-to-noise ratio in the wildlife recordings (Zeppelzauer et al 2013). Signal enhancement emphasizes spectro-temporal structures of rumbles and attenuates noise sources from the environment such as wind and rain.…”

Section: Introductionmentioning

confidence: 99%

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Towards an automated acoustic detection system for free-ranging elephants

Zeppelzauer

Hensman²,

Stoeger

2014

Bioacoustics

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The human-elephant conflict is one of the most serious conservation problems in Asia and Africa today. The involuntary confrontation of humans and elephants claims the lives of many animals and humans every year. A promising approach to alleviate this conflict is the development of an acoustic early warning system. Such a system requires the robust automated detection of elephant vocalizations under unconstrained field conditions. Today, no system exists that fulfills these requirements. In this paper, we present a method for the automated detection of elephant vocalizations that is robust to the diverse noise sources present in the field. We evaluate the method on a dataset recorded under natural field conditions to simulate a real-world scenario. The proposed method outperformed existing approaches and robustly and accurately detected elephants. It thus can form the basis for a future automated early warning system for elephants. Furthermore, the method may be a useful tool for scientists in bioacoustics for the study of wildlife recordings.

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Section: Introductionmentioning

confidence: 77%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards an automated acoustic detection system for free-ranging elephants

Zeppelzauer

Hensman²,

Stoeger

2014

Bioacoustics

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“…Fundamental frequencies of elephant infrasonic calls generate higher frequency harmonics, resulting a wide spectrum of audible sounds. Zeppelzauer et al [13] present a signal enhancement technique for identifying sounds from elephants in the presence of various types of noise sources such as wind and automotive engines. They have used a large dataset that consists of prior recordings in such noisy environments with the presence of elephants.…”

Section: Related Workmentioning

confidence: 99%

Listening to the Giants

Dabare

Suduwella

Sayakkara

et al. 2015

Proceedings of the 6th ACM Workshop on Real World Wireless Sensor Networks

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The continuing human-elephant conflict in Sri Lanka has resulted in loss of human as well as elephant lives. Detecting and localizing elephants is an essential component of any viable solution to this problem. Currently, we conduct feasibility tests on using low cost sensors to detect elephants from a long distance, leveraging the infra-sounds emitted by them. In this paper we present the test environment that we have set up for this purpose and some preliminary, but promising results.

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“…Sistem deteksi keberadaan gajah sudah pernah dikembangkan antara lain menggunakan GPS [9], sensor cahaya menggunakan laser yang terpasang di antara pohon [10], maupun deteksi dengan menggunakan sensor getaran yang dipasang di tanah [11], [12]. Sistem deteksi yang telah dibuat tersebut mempunyai kelemahan pada tingginya biaya pemasangan dan kurang efektif untuk populasi habitat yang besar [13].Kelemahan sistem deteksi otomatis yang telah dibuat merupakan latar belakang penulisan makalah ini. Dalam penelitian ini dibuat suatu sistem deteksi otomatis keberadaan gajah yang berada pada suatu daerah tertentu menggunakan komunikasi frekuensi radio.…”

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Sistem Deteksi Posisi Gajah Berbasis Frekuensi Radio

Wibowo¹,

Rahayani²,

Gunawan³

et al. 2016

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

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Abstract-This paper is motivated by the human-elephant conflict that often occurs due to the narrowing of the elephant habitat caused by industrial and residential interests. In addition, the habitat breadth and the lack of elephant keepers also becomes a consideration. In this paper, we propose an elephant detector using radio frequency. The detector using KYL-200L as transmitter is mounted on the elephant necklace and the sensor nodes as transceivers are installed at some point in the outer boundaries of the elephant habitat. When an elephant is moving within the sensor node radius, the node will send information to the server to be displayed on surveillance computer, and an alert will be sent via SMS to the elephant keeper. The result shows that the maximum communication distance range obtained is 190 m, depending on the propagation and geographical location of the nodes. The average delay of SMS sending is 4.74 seconds depending on providers'traffic service. The differences on the elephant position detection caused by SMS delay are insignificant compared to the radius of the nodes and the elephant habitat.Intisari-Penulisan makalah ini dilatarbelakangi oleh konflik gajah dan manusia yang sering terjadi seiring dengan menyempitnya habitat gajah karena kepentingan industri dan pemukiman. Selain itu luasnya habitat gajah dan kurangnya tenaga pengawas gajah juga menjadi pertimbangan. Pada makalah ini dibuat alat deteksi keberadaan gajah berbasis frekuensi radio. Node sensor menggunakan KYL-200L dipasang pada kalung gajah sebagai transmitter, dan node sensor sebagai transceiver dipasang pada beberapa titik di batas luar habitat gajah. Ketika gajah bergerak dalam radius node sensor, node sensor akan mengirimkan data pembacaan ke server untuk ditampilkan pada komputer pemantau maupun SMS ponsel pemantau. Dari pengukuran hasil implementasi sensor diperoleh jarak jangkauan maksimal komunikasi transmitter dan transceiver adalah 190 m, bergantung pada propagasi dan letak geografis. Delay rata-rata pengiriman SMS adalah sebesar 4,74 detik, bergantung pada trafik operator selular. Perbedaan deteksi posisi gajah karena delay SMS tidak signifikan dibandingkan radius node maupun luas habitat gajah. Upaya pencegahan konflik gajah dengan manusia dilakukan dengan patroli keliling untuk mengarahkan gajahgajah liar kembali ke hutan apabila gajah memasuki ladang maupun kebun milik masyarakat. Namun upaya ini dinilai kurang efisien mengingat terbatasnya sumber daya manusia dibanding luas habitat gajah.Berdasarkan hal di atas, perlu adanya suatu sistem deteksi otomatis keberadaan gajah yang dapat menjangkau daerah yang luas. Sistem deteksi keberadaan gajah sudah pernah dikembangkan antara lain menggunakan GPS [9], sensor cahaya menggunakan laser yang terpasang di antara pohon [10], maupun deteksi dengan menggunakan sensor getaran yang dipasang di tanah [11], [12]. Sistem deteksi yang telah dibuat tersebut mempunyai kelemahan pada tingginya biaya pemasangan dan kurang efektif untuk populasi habitat yang besar [13].Kelemahan sistem d...

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Acoustic detection of elephant presence in noisy environments

Cited by 16 publications

References 14 publications

Towards an automated acoustic detection system for free-ranging elephants

Towards an automated acoustic detection system for free-ranging elephants

Listening to the Giants

Sistem Deteksi Posisi Gajah Berbasis Frekuensi Radio

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