Action recognition in real-world videos
This is an incremental overview of existing methods for action recognition, with no new contributions reported.
The paper addresses the problem of human action recognition in videos, focusing on both temporal and spatial localization, but does not present specific results or numbers.
The goal of human action recognition is to temporally or spatially localize the human action of interest in video sequences. Temporal localization (i.e. indicating the start and end frames of the action in a video) is referred to as frame-level detection. Spatial localization, which is more challenging, means to identify the pixels within each action frame that correspond to the action. This setting is usually referred to as pixel-level detection. In this chapter, we are using action, activity, event interchangeably.