Paper Info
Title
Automatic Detection and Recognition of Individuals in Patterned Species.
Abstract
Visual animal biometrics is rapidly gaining popularity as it enables a non-invasive and cost-effective approach for wildlife monitoring applications. Widespread usage of camera traps has led to large volumes of collected images, making manual processing of visual content hard to manage. In this work, we develop a framework for automatic detection and recognition of individuals in different patterned species like tigers, zebras and jaguars. Most existing systems primarily rely on manual input for localizing the animal, which does not scale well to large datasets. In order to automate the detection process while retaining robustness to blur, partial occlusion, illumination and pose variations, we use the recently proposed Faster-RCNN object detection framework to efficiently detect animals in images. We further extract features from AlexNet of the animal's flank and train a logistic regression (or Linear SVM) classifier to recognize the individuals. We primarily test and evaluate our framework on a camera trap tiger image dataset that contains images that vary in overall image quality, animal pose, scale and lighting. We also evaluate our recognition system on zebra and jaguar images to show generalization to other patterned species. Our framework gives perfect detection results in camera trapped tiger images and a similar or better individual recognition performance when compared with state-of-the-art recognition techniques.
Year
DOI
Venue
2017
10.1007/978-3-319-71273-4_3
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
Animal biometrics,Wildlife monitoring,Detection,Recognition,Convolutional neural network,Computer vision
Object detection,Computer vision,Recognition system,Convolutional neural network,Computer science,Image quality,Robustness (computer science),Artificial intelligence,Camera trap,Biometrics,Classifier (linguistics)
Conference
Volume
ISSN
Citations 
10536
0302-9743
1
PageRank 
References 
Authors
0.37
20
2
Name
Order
Citations
PageRank
Cheema Gullal Singh110.37
Saket Anand2879.36