Unified detection system for automatic, real-time, accurate animal detection in camera trap images from the arctic tundra
Explore this paper's citation graph
Summary
A unified detection system that can automatically localize and identify animal species in digital images from camera traps in the Arctic tundra is described and implemented.
- Type
- dissertation
- Published
- 2017-06-01
- Cited by
- 8
- References
- 48
- Access
- Open access
- OpenAlex
- https://openalex.org/W2733687796
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:56037820
Keywords
Tundra, Camera trap, Trap (plumbing), Arctic, Computer science
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- You Only Look Once: Unified, Real-Time Object Detection
- Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation
- Bias in human reasoning
- Camera traps in animal ecology : methods and analyses
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Fully convolutional networks for semantic segmentation
- Towards good practice guidance in using camera‐traps in ecology: influence of sampling design on validity of ecological inferences
- Large-Scale Video Classification with Convolutional Neural Networks
- Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices
- The social life of corvids.
- THE EFFECT OF A SHORT REST-PAUSE ON INSPECTION EFFICIENCY
- Selective Search for Object Recognition
- Dropout: a simple way to prevent neural networks from overfitting
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- ImageNet Large Scale Visual Recognition Challenge
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Simplifying Neural Networks by Soft Weight-Sharing
- ImageNet classification with deep convolutional neural networks
- Camera traps as sensor networks for monitoring animal communities
Cited by
- Embedded analytics of animal images
- Economical crowdsourcing for camera trap image classification
- Identification of Rodent Species Using Deep Learning
- Monitoring the UK’s wild mammals: A new grammar for citizen science engagement and ecology
- Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications
- Large‐scale mammal monitoring: The potential of a citizen science camera‐trapping project in the United Kingdom
- Object detection at the edge
- Assessing Convolutional Neural Network Animal Classification Models for Practical Applications in Wildlife Conservation