Part Affinity Field based Activity Recognition
Published in Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, 2020
This report presents work and results on Activity Recognition using Part Affinity Fields for real-time surveillance applications. Starting with a short introduction to the motivation, this report gives a detailed overview over the key idea of the pursued approach and explains the basic ideas. In addition a variety of experiments on various subjects are presented, like i) the impact of the number of input frames, ii) the impact of different simple dimensionality reduction approaches, and iii) a comparison on how multi-class and binary problem formulation influence the performance.
