Summarizing and Searching Video: Geometry-Aware Visual Surveillance
Abstract
Tracking moving objects in a video is afundamental problem in surveillance. This problem is made even more challenging if the camera is constantly moving, as it is in drone surveillance. In this work, we develop a pipeline that estimates camera motion on-the-fly while tracking, allowing us to cancel the camera motion before deploying our tracking algorithm.The tracker works by matching detected objects against future stabilized frames, with the help of a trajectory forecaster.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2019
- Accession Number
- AD1118461
Entities
People
- Edwin Morris
Organizations
- Carnegie Mellon University