- Title
- Poacher detection and wildlife counting system
- Creator
- Brown, Dane L, Schormann, Daniel
- Subject
- To be catalogued
- Date
- 2019
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/465733
- Identifier
- vital:76636
- Identifier
- xlink:href="https://www.researchgate.net/profile/Dane-Brown-2/publication/335378767_Poacher_Detection_and_Wildlife_Counting_System/links/5d6117c7a6fdccc32ccd2cac/Poacher-Detection-and-Wildlife-Counting-System.pdf"
- Description
- The illegal hunting of wildlife is a serious problem, causing a large number of animals to approach extinction or worse. Drones provide a viable option for constant surveillance and multiple instances of using drones for this purpose have been tried. However, existing methods predominantly rely on manual surveillance from camera feeds. This paper shows that using either visible or thermal cameras, with modern image processing and machine learning techniques, enables a system to autonomously detect humans, while tracking animals by their identity number (id). The thermal characteristics of special but inexpensive cameras are used for object detection with centroid tracking, and convolutional neural networks are used to classify humans and wildlife. Classification also enables the counting of wildlife by id, which can help game reserves keep track of wildlife.
- Format
- computer, online resource, application/pdf, 1 online resource (5 pages), pdf
- Publisher
- Southern Africa Telecommunication Networks and Applications Conference (SA TNAC)
- Language
- English
- Relation
- Proc. Southern Africa Telecommun. Netw. Appl. Conf.(SATNAC), Brown, L.D. and Schormann, D., 2019. Poacher detection and wildlife counting system. In Proc. Southern Africa Telecommun. Netw. Appl. Conf.(SATNAC) (pp. 1-6), Proc. Southern Africa Telecommun. Netw. Appl. Conf.(SATNAC) p. 1 2019
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of Southern Africa Telecommunication Networks and Applications Conference (SA TNAC) Statement (https://www.satnac.org.za/)
- Rights
- Open Access
- Hits: 52
- Visitors: 49
- Downloads: 2
Collections
Brown, Dane A (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
SDG 15. Life On Land
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Poacher detection and wildlife counting system.pdf | 783 KB | Adobe Acrobat PDF | View Details |