Real action pose collection pdf download
The model used in this tutorial is based on a paper titled Multi-Person Pose Estimation by the Perceptual Computing Lab at Carnegie Mellon University. If we missed an important dataset, please mention in the comments and we will be happy to include in this list! 2. Some challenging datasets have been released in the last few years which have made it easier for researchers to attack the problem with all their intellectual might. Such is the enthusiasm in AI these days that people believe every problem is just a good dataset away from being demolished. Until recently, there was little progress in pose estimation because of the lack of high-quality datasets. A typical output of a pose detector looks as shown below : If such a suit is ever built, it would require human pose estimation!įor the purpose of this article, though, we will tone down our ambition a tiny bit and solve a simpler problem of detecting keypoints on the body. Remember the scene where Tony stark wears the Iron Man suit using gestures? In this article, we will focus on human pose estimation, where it is required to detect and localize the major parts/joints of the body ( e.g. Please see our articles on ( Facial Landmark Detection using OpenCV and Facial Landmark Detection using Dlib )Ī related problem is Head Pose Estimation where we use the facial landmarks to obtain the 3D orientation of a human head with respect to the camera. We have written extensively on the topic. This usually means detecting keypoint locations that describe the object.įor example, in the problem of face pose estimation (a.k.a facial landmark detection), we detect landmarks on a human face.
Pose Estimation is a general problem in Computer Vision where we detect the position and orientation of an object. Pose Estimation (a.k.a Keypoint Detection)