Human Pose Estimation Quiz

Answers and explanations appear as you take the quiz.

1. What does human pose estimation primarily detect?
   • The positions of body joints or keypoints
   • The colors of clothing
   • The person's name
   • The image file size
2. How do top-down pose estimation methods work?
   • They detect all joints at once, then group them
   • They detect each person first, then find joints inside the box
   • They never use bounding boxes
   • They only work on a single static joint
3. What does OpenPose predict to estimate body-part locations?
   • A direct 3D skeleton with depth
   • A single bounding box per frame
   • Confidence maps for candidate body-part locations
   • A sequence of spoken joint names
4. What step does the OpenPose parser use to associate candidate body parts into full poses?
   • A face-recognition classifier
   • A top-down detector for every limb
   • A language-model prompt
   • A set of bipartite matchings scored with Part Affinity Fields
5. What failure mode of top-down pose estimation does the OpenPose paper discuss in crowded scenes?
   • A person detector may miss people close together, and the pose stage cannot recover them
   • It always detects more people than are present
   • It cannot estimate any 2D keypoints
   • It requires a 3D depth camera
6. Which additional keypoint groups did the OpenPose paper include in its system?
   • Only facial landmarks
   • Body, foot, hand and facial keypoints
   • A 3D skeleton with medical diagnoses
   • Only fingertip positions
7. What information do Part Affinity Fields encode to connect keypoints?
   • A person’s identity from face recognition
   • Depth in meters for every body joint
   • Vectors indicating limb position and orientation across the image
   • The camera exposure settings
8. What can a 2D pose model conclude directly from image keypoints?
   • A person’s medical diagnosis
   • Exact real-world joint depth without additional information
   • The person’s intentions
   • Approximate joint locations in image coordinates