InterTrack: Tracking Human Object Interaction without Object Templates

Understand

Tracking human object interaction from videos is important to understand human behavior from the rapidly growing stream of video data.

• Previous video-based methods require predefined object templates while single-image-based methods are template-free but lack temporal consistency.
• In this paper, we present a method to track human object interaction without any object shape templates.
• We decompose the 4D tracking problem into per-frame pose tracking and canonical shape optimization.