A Literature Survey on Animal Detection Methods in Digital Images

Koik, Boon Tatt; Ibrahim, Haidi

doi:10.7763/ijfcc.2012.v1.7

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…Early research on the identification of animals is to determine how easily human eyes can detect the presence of animals in the natural world. Animal detection by human eyes was seen from the computational point of view as the most reliable method of detection [24]. This is due to the ambiguity of the object form in natural objects.…”

Section: Animal Detection Methods In Field Of Image Processingmentioning

confidence: 99%

Scrutiny of Methods for Image Detection and Recognition of Different Species of Animals

2019

IJRTE

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Animal detection-based study is useful in many real-life applications. Techniques involved in animal detection are useful in observing the locomotive behavior of the engaged animal and in result it prevent harmful interruption of animals in residential areas. There are some branches of research in animal detection. Some of these branches will therefore be discussed in this journal. Humans have developed many algorithms and techniques to gain a better understanding of animal behaviour. Therefore, for early preventive measures, these technologies can also serve as a warning system for humans from encroachment of dangerous wild animals. Such tasks can be reduced to three main branches, namely animal detection, tracking and recognition. Through these papers, new approaches for study and a variety of technologies/algorithms implemented in the past are identified and appropriate ways for solving the research gaps are suggested to fill the gap.

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Section: Animal Detection Methods In Field Of Image Processingmentioning

confidence: 99%

Scrutiny of Methods for Image Detection and Recognition of Different Species of Animals

2019

IJRTE

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“…Many authors worked on animal detection algorithms using machine learning and deep learning. Koik and Ibrahim [6] presented a literature survey on animal detection methods in digital images. Tanwar et al, [7] presented a survey on algorithms on animal detection.…”

Section: IImentioning

confidence: 99%

Deep Vision Based Surveillance System to Prevent Train-Elephant Collisions

Gupta

Mohan

Nagaraju³

et al. 2021

Preprint

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Animal conservation is imperative, and a lot of technology has been used in different ways. The endangered species like tiger and elephant has raised the need for such efforts. Human-Elephant Collision (HEC) has been an active area of research but still, the optimum solution is not found. As trains are widely used transportation medium in Asian countries, the rail track is even laid down through forest areas and hence intervene the wildlife. Elephants due to their bulky size often become victims of trains. Such tragedy is common especially in green belts in southern zones of India. To rectify the problem, we have proposed a deep vision-based model to identify the elephant near-site using implanted video cameras. Four different models are proposed for the identification of elephants in image/video. One novel lightweight CNN based model is proposed. Three Transfer Learning (TL) models, i.e., ResNet50, MobileNet, Inception V3 have been experimented and tuned for elephant detection. These highly accurate and precise models can alarm the trains hence it can save a precious life.

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“…[1][2][3]. Koik and Ibrahim have worked on literature survey on animal detection methods using digital images [4]. Prabhu and Kumar have performed review work on recent advances in Elephant tracking and detection systems [5].…”

Section: Introductionmentioning

confidence: 99%

A Prototype Model to Detect Elephants near the Railway Tracks

Mandal¹

2020

AMA_B

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Artificial Neural Network (ANN) technologies are becoming very popular. It has been used almost in all the research areas. Approach in this paper is to develop an automated expert system to drive away Elephants found near the railway tracks to stop the casualties of these animals on the railway tracks. In this paper, a prototype model has been designed using Geophone Sensors which recognizes the vibrations of the Elephants roaming near the railway tracks. These vibrations are sent to the nearby servers with the help of Arduino. The server runs software based on the ANN model developed here. It detects the exact position of the Elephants present near the railway tracks and raises an alarm to drive them away.

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A Literature Survey on Animal Detection Methods in Digital Images

Cited by 9 publications

References 9 publications

Scrutiny of Methods for Image Detection and Recognition of Different Species of Animals

Scrutiny of Methods for Image Detection and Recognition of Different Species of Animals

Deep Vision Based Surveillance System to Prevent Train-Elephant Collisions

A Prototype Model to Detect Elephants near the Railway Tracks

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