Towards Understanding Action Recognition

• Published in: 2013 IEEE International Conference on Computer Vision pp. 3192 - 3199
• Main Authors: Hueihan Jhuang, Gall, Juergen, Zuffi, Silvia, Schmid, Cordelia, Black, Michael J.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.12.2013
• Subjects: Accuracy; action recognition; Algorithms; annotation; Computer vision; Conferences; dataset; Estimation; Ground truth; Human; JHMDB; Joints; Level (quantity); Motion pictures; optical flow estimation; pose estimation; Recognition; Robustness; Trajectory; Vectors; Videos

Although action recognition in videos is widely studied, current methods often fail on real-world datasets. Many recent approaches improve accuracy and robustness to cope with challenging video sequences, but it is often unclear what affects the results most. This paper attempts to provide insights...