Pre-Processing Techniques to Improve the Efficiency of Video Identification for the Pygmy Bluetongue Lizard

Damian Tohl, Jim Li, Christopher Bull

    Research output: Contribution to conferencePaper

    1 Citation (Scopus)

    Abstract

    In the study of the endangered Pygmy Bluetongue Lizard, non-invasive photographic identification is preferred to the current invasive methods which can be unreliable and cruel. As the lizard is an endangered species, there are restrictions on its handling. The lizard is also in constant motion and it is therefore difficult to capture a good still image for identification purposes. Hence video capture is preferred as a number of images of the lizard at various positions and qualities can be collected in just a few seconds from which the best image can be selected for identification. With a large number of individual lizards in the database, matching a video sequence of images against each database image for identification will render the process very computationally inefficient. Moreover, a large portion of those images are non-identifiable due to motion and optical blur and different body curvature to the reference database image. In this paper, we propose a number of pre-processing techniques for pre-selecting the best image out of the video image sequence for identification. Using our proposed pre-selection techniques, it has been shown that the computational efficiency can be significantly improved.

    Original languageEnglish
    Pages623-629
    Number of pages7
    Publication statusPublished - 1 Jan 2015
    Event10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 -
    Duration: 11 Mar 2015 → …

    Conference

    Conference10th International Conference on Computer Vision Theory and Applications, VISAPP 2015
    Period11/03/15 → …

    Keywords

    • Curvature
    • DWT
    • Pygmy bluetongue lizard
    • Sift
    • Video identification

    Fingerprint Dive into the research topics of 'Pre-Processing Techniques to Improve the Efficiency of Video Identification for the Pygmy Bluetongue Lizard'. Together they form a unique fingerprint.

  • Cite this

    Tohl, D., Li, J., & Bull, C. (2015). Pre-Processing Techniques to Improve the Efficiency of Video Identification for the Pygmy Bluetongue Lizard. 623-629. Paper presented at 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015, .