Visual hull reconstruction for automated primate behavior observation

Nastaran Ghadar, Xikang Zhang, Kang Li, Deniz Erdogmus, Guillaume Thibault, Alireza Bayestehtashk, Izhak Shafran Kris Coleman, Kathleen A. Grant

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The study of social animal interactions is used as means for understanding animal behavior and biology. In this work, we describe a computerized method that utilizes 3D visual hull reconstruction to identify and localize rhesus macaques in their social groups. There are three major steps in this study. First, we collect experimental data from four synchronized cameras at different locations and angels in a cage containing five rhesus macaques. Second, by using computer vision algorithms, we detect and identify animals using 2D observations that were provided from the previous step. This provides essential quantitative data for animal behavior research. Finally, by applying visual hull reconstruction algorithm, we automatically build a 3D model for each rhesus macaques on every frame. The results of this work can be used for tracking these animals in their cage, and furthermore it can be used for activity recognition of social interactions of rhesus macaques. The method we developed in this paper, shows promising results that are accurate, yet runs in a timely manner; this makes this algorithm suitable for large datasets and we can use it for future high-level recognition tasks.

Original languageEnglish (US)
Title of host publication2013 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2013
DOIs
StatePublished - Dec 1 2013
Event2013 16th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2013 - Southampton, United Kingdom
Duration: Sep 22 2013Sep 25 2013

Publication series

NameIEEE International Workshop on Machine Learning for Signal Processing, MLSP
ISSN (Print)2161-0363
ISSN (Electronic)2161-0371

Other

Other2013 16th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2013
CountryUnited Kingdom
CitySouthampton
Period9/22/139/25/13

Keywords

  • Visual hull reconstruction
  • background substraction
  • object detection
  • social animals

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing

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  • Cite this

    Ghadar, N., Zhang, X., Li, K., Erdogmus, D., Thibault, G., Bayestehtashk, A., Coleman, I. S. K., & Grant, K. A. (2013). Visual hull reconstruction for automated primate behavior observation. In 2013 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2013 [6661922] (IEEE International Workshop on Machine Learning for Signal Processing, MLSP). https://doi.org/10.1109/MLSP.2013.6661922