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Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification.
Hayder Yousif
Jianhe Yuan
Roland Kays
Zhihai He
Published in:
ISCAS (2017)
Keyphrases
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background modeling
deep learning
complex background
image classification
multiple images
varying illumination
input image
image features
unsupervised learning
feature extraction
object detection
three dimensional
lighting conditions
object recognition
machine learning
pattern recognition
test images
feature space
background subtraction
foreground objects
single image
graph cuts
moving camera
light source
semi supervised
feature vectors
training set
computer vision