Call for Papers: Special Issue on Computer Vision Approach for Animal Tracking and Modeling

Guest Editors

  • Hyun Soo Park; University of Minnesota
  • Helge Rhodin; University of British Columbia
  • Angjoo Kanazawa; University of California, Berkeley
  • Natalia Neverova; Facebook AI Research
  • Shohei Nobuhara; Kyoto University
  • Michael Black; Max Planck Institute for Intelligent Systems
  • Silvia Zuffi, IMATI-CNR, Italy

Many biological organisms are evolved to exhibit diverse quintessential behaviors via physical and social interactions with surroundings, and understanding these behaviors is a fundamental goal of multiple disciplines including neuroscience, biology, animal husbandry, ecology, and animal conservation. For example, ethogramming characterizes the behavioral states and their transitions, which further provides a scientific basis to understand innate human behaviors, e.g., decision making, attention, and group behaviors. These analyses require objective, repeatable, and scalable measurements of animal behaviors that are not possible with existing methodologies that leverage manual encoding from animal experts and specialists. Recently, computer vision has been making a groundbreaking impact by providing a new tool that enables computational measurements of the behaviors. 

Despite its significance, the area of animal tracking and modeling is still under-explored and under-represented in computer vision, compared to that of human subjects. While computer vision methods to track, model, and reconstruct humans are highly inspirational, we argue that these methods are not necessarily applicable to a new animal species without non-trivial modifications. This performance degradation stems from various reasons including scarce annotated data, characteristic body movements and constraints (e.g., bipedal vs. quadrupedal vs. polypedal), irregular/homogeneous skin texture, and limited resolution due to remote sensing. This requires a series of innovations. 

This special issue is motivated by the amount of enthusiasm (more than 50 paper submissions and 120 attendances) seen at our CVPR 2021 workshop on CV4Animals: Computer Vision for Animal Tracking and Modeling, which showcased interdisciplinary demands and interests in the topic. However, there exists no formal publication venue to consolidate this newly emerging field. We, therefore, propose this special issue, aiming to address this. 

Aims and Scope

  • Animal motion capture and data
    • Marker/markerless capture
    • Camera trap remote capture
    • Underwater capture
    • Neuro-motor data recording
  • Animal behavior tracking
    • Fine-grain detection/segmentation/categorization of animals and their species
    • 2D/3D pose/shape estimation
    • Skin texture reconstruction
    • Deformable body modeling
    • Counting
    • Re-Identification
  • Animal behavior modeling
    • Behavioral state characterization/classification (ethogramming)
    • Dynamics of group/herd/flock behavior
    • Behavior analysis and prediction
    • Neuro-motor relation learning
    • Behavior assessment  

Important Dates

Full paper submission deadline: March 27, 2022
Review deadline: June 18, 2022
Author response deadline: July 22, 2022
Final notification: September 23, 2022
Final manuscript submission: October 28, 2022

Submission guidelines:

Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Manuscripts will be subject to a peer reviewing process and must conform to the author guide lines available on the IJCV website at: 

Please select "S.I.: Computer Vision Approach for Animal Tracking and Modeling" at the beginning of the submission process.

Author Resources

Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals.  

All papers will be reviewed following standard reviewing procedures for the Journal. 

Papers must be prepared in accordance with the Journal guidelines:

Springer provides a host of information about publishing in a Springer Journal on our Journal Author Resources page, including  FAQs,  Tutorials  along with  Help and Support.

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