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Animal and Insect Behaviour Understanding in Image Sequences

This special issue aims at reporting on the most recent approaches and tools for the identification, interpretation and description of animal and insect behaviour in image sequences. It specially focuses on the interactions between (i) computer vision theories and methods, (ii) artificial intelligence techniques for the high-level analysis of animal and insect behaviours and (iii) multimedia semantics methods for indexing and retrieval of animal and insect behaviour detected in images and videos.

Edited by: Margrit Betke, Bas Boom, Giovanni Maria Farinella, Robert Fisher, Vasileios Mezaris and Concetto Spampinato

  1. Research

    Automated quantification of the schooling behaviour of sticklebacks

    Sticklebacks have long been used as model organisms in behavioural biology. An important anti-predator behaviour in sticklebacks is schooling. We plan to use quantitative trait locus mapping to identify the ge...

    Reza Ardekani, Anna K Greenwood, Catherine L Peichel and Simon Tavaré

    EURASIP Journal on Image and Video Processing 2013 2013:61

    Published on: 9 November 2013

  2. Research

    Comparison of two 3D tracking paradigms for freely flying insects

    In this paper, we discuss and compare state-of-the-art 3D tracking paradigms for flying insects such as Drosophila melanogaster. If two cameras are employed to estimate the trajectories of these identical appeari...

    Benjamin Risse, Dimitri Berh, Junli Tao, Xiaoyi Jiang, Reinhard Klette and Christian Klämbt

    EURASIP Journal on Image and Video Processing 2013 2013:57

    Published on: 31 October 2013

  3. Research

    Automated identification of animal species in camera trap images

    Image sensors are increasingly being used in biodiversity monitoring, with each study generating many thousands or millions of pictures. Efficiently identifying the species captured by each image is a critical...

    Xiaoyuan Yu, Jiangping Wang, Roland Kays, Patrick A Jansen, Tianjiang Wang and Thomas Huang

    EURASIP Journal on Image and Video Processing 2013 2013:52

    Published on: 4 September 2013

  4. Research

    A human-computer collaborative workflow for the acquisition and analysis of terrestrial insect movement in behavioral field studies

    The study of insect behavior from video sequences poses many challenges. Despite the advances in image processing techniques, the current generation of insect tracking tools is only effective in controlled lab...

    Khairi Reda, Victor Mateevitsi and Catherine Offord

    EURASIP Journal on Image and Video Processing 2013 2013:48

    Published on: 13 August 2013

  5. Research

    Data feature selection based on Artificial Bee Colony algorithm

    Classification of data in large repositories requires efficient techniques for analysis since a large amount of features is created for better representation of such images. Optimization methods can be used in...

    Mauricio Schiezaro and Helio Pedrini

    EURASIP Journal on Image and Video Processing 2013 2013:47

    Published on: 13 August 2013

  6. Research

    Automated detection of elephants in wildlife video

    Biologists often have to investigate large amounts of video in behavioral studies of animals. These videos are usually not sufficiently indexed which makes the finding of objects of interest a time-consuming t...

    Matthias Zeppelzauer

    EURASIP Journal on Image and Video Processing 2013 2013:46

    Published on: 12 August 2013