Pose Recognition of Giant Pandas Based on Gradient Shapes Conference Paper uri icon

abstract

  • In this paper, we proposed a novel approach towards the pose recognition of giant pandas based on the gradient shapes. The proposed approach is implemented in three main steps. First, the gradient contour is extracted by filtering the internal pixels in the gradient image. Second, a novel region partition method is used to measure the body weight of giant panda in different image directions. Third, the Fuzzy C-Means clustering is utilized to recognize various poses of giant panda based on the gradient shapes. Extensive experiments are carried out to validate the performance of the proposed method. The experimental results demonstrate that our method is quite promising. 2012 IEEE.

name of conference

  • 2012 International Conference on Computational Problem-Solving (ICCP)

published proceedings

  • 2012 International Conference on Computational Problem-Solving (ICCP)

author list (cited authors)

  • Chen, J., Wen, Q., Zhuo, C., & Mete, M.

citation count

  • 3

complete list of authors

  • Chen, Juan||Wen, Quan||Zhuo, Chenglong||Mete, Mutlu

publication date

  • October 2012