Beyond pixels: exploring new representations and applications for motion analysis
Massachusetts Institute of Technology
Abstract
The focus of motion analysis has been on estimating a flow vector for every pixel by matching intensities. In my thesis, I will explore motion representations beyond the pixel level and new applications to which these representations lead. I first focus on analyzing motion from video sequences. Traditional motion analysis suffers from the inappropriate modeling of the grouping relationship of pixels and from a lack of ground-truth data. Using layers as the interface for humans to interact with videos, we build a human-assisted motion annotation system to obtain ground-truth motion, missing in the literature, for natural video sequences. Furthermore, we show that with the layer representation, we can detect…
Citation impact
- FWCI
- 21.98
- Percentile
- 100%
- References
- 0
Authors
3Topics & keywords
- Artificial intelligence
- Computer vision
- Computer science
- Pixel
- Scale-invariant feature transform
- Ground truth
- Motion (physics)
- Focus (optics)