An Approach of Animal Detection Based on Generalized Hough Transform

DOI

10.2991/iccnce.2013.29How to use a DOI?

Keywords

Image Processing, Object Detection, Generalized Hough Transform.

Abstract

To detect animal objects under complicated background, a new approach is proposed to detect animal objects using shape feature. At first, a model is built by devising Canny hierarchical structure, then candidate fragments of the back and buttock are extracted using Generalizing Hough Transform, at last the matching task is accomplished based on restricting relationship of relative positions between the back and buttock. The experiment result shows that our approach achieves a promising detection rate under posture variations, scale variations and background clutter.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weimeng Chu
AU  - Fang Liu
PY  - 2013/07
DA  - 2013/07
TI  - An Approach of Animal Detection Based on Generalized Hough Transform
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 117
EP  - 120
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.29
DO  - 10.2991/iccnce.2013.29
ID  - Chu2013/07
ER  -