Understanding the state of the Art in Animal detection and classification using computer vision technologies
GS Ferrante, FM Rodrigues… - … Conference on Big …, 2021 - ieeexplore.ieee.org
This work presents the results of a survey through the analysis of studies published between
January 2017 and May 2021, aiming to compose a broader view of the state of the art in the …
January 2017 and May 2021, aiming to compose a broader view of the state of the art in the …
[HTML][HTML] Light weight convolutional neural network and low-dimensional images transformation approach for classification of thermal images
YS Taspinar - Case Studies in Thermal Engineering, 2023 - Elsevier
Thermal energy is emitted in the infrared range between X-ray and Gamma rays, which are
invisible to the human eye. Thermal cameras can detect the temperature that arises due to …
invisible to the human eye. Thermal cameras can detect the temperature that arises due to …
Intelligent system utilizing HOG and CNN for thermal image-based detection of wild animals in nocturnal periods for vehicle safety
ABSTRACT Animal Vehicle Collision, commonly called roadkill, is an emerging threat to
drivers and wild animals, increasing fatalities every year. Currently, prevalent methods using …
drivers and wild animals, increasing fatalities every year. Currently, prevalent methods using …
Improving road safety during nocturnal hours by characterizing animal poses utilizing CNN-based analysis of thermal images
Animal–vehicle collision is a common danger on highways, especially during nighttime
driving. Its likelihood is affected not only by the low visibility during nighttime hours, but also …
driving. Its likelihood is affected not only by the low visibility during nighttime hours, but also …
[HTML][HTML] Vision-based module for herding with a sheepdog robot
Livestock farming is assisted more and more by technological solutions, such as robots. One
of the main problems for shepherds is the control and care of livestock in areas difficult to …
of the main problems for shepherds is the control and care of livestock in areas difficult to …
Wild animal detection using deep learning
KL Sreedevi, A Edison - 2022 IEEE 19th India Council …, 2022 - ieeexplore.ieee.org
The collision of vehicles with animals is an emerging threat to humans and wildlife. Efficient
observation of wild animals is crucial. Cost-effective techniques for observing the behaviour …
observation of wild animals is crucial. Cost-effective techniques for observing the behaviour …
Emerging opportunities for wildlife conservation with sustainable autonomous transportation
Autonomous vehicles (AVs) are expected to play a key role in the future of transportation,
and to introduce a disruptive yet potentially beneficial change for wildlife–vehicle …
and to introduce a disruptive yet potentially beneficial change for wildlife–vehicle …
Single-stage object detector with local binary pattern for remote sensing images
K Zhou, M Zhang, S Lin, R Zhang… - International Journal of …, 2023 - Taylor & Francis
The objects in remote sensing images usually have complex background and appear
anywhere in any direction, which poses challenges for deep learning-based object …
anywhere in any direction, which poses challenges for deep learning-based object …
[PDF][PDF] Nam-yolov7: An improved yolov7 based on attention model for animal death detection
Accepted: 6 February 2023 Dead animals on the road are very harmful to public health.
Because of offensive odours and the potential outspread of diseases, dead animals …
Because of offensive odours and the potential outspread of diseases, dead animals …
Image Detection and Recognition of different species of animals using Deep Learning
Deep Learning has grown in popularity as a method for solving computer vision difficulties.
Deep learning models are becoming increasingly efficient in solving complex real-world …
Deep learning models are becoming increasingly efficient in solving complex real-world …