Recognizing Pose Similarity in Images and Videos (Google)
In “View-Invariant Probabilistic Embedding for Human Pose” (Pr-VIPE), we present a new algorithm for human pose perception that recognizes similarity in human body poses across different camera views by mapping 2D body pose keypoints to a view-invariant embedding space. This ability enables tasks, such as pose retrieval, action recognition, action video synchronization, and more. We have released the code on our GitHub repo.