Human Pose Estimation Using Struct-SVM

  • This is an implementation of the paper on Human Pose Estimation Using Structural Support Vector Machines (https://ieeexplore.ieee.org/document/6130340). In this project, we perform human pose estimation using Struct-SVM's.
  • A human pose skeleton represents the orientation of a person in a graphical format. Essentially, it is a set of coordinates that can be connected to describe the pose of the person.
  • In this implementation, our objective is to correctly identify this set of coordinates (or skeleton) that identify the pose of a person, given the person's input image.
  • Refer to this doc for more info on this project:

Some Results

Results1 Results2

Libraries Used (in Python3)

  • cvxopt
  • scipy
  • cv2
  • sklearn
  • matplotlib
  • numpy

Project Members