Multiple object tracking in unknown backgrounds with labeled random finite sets
This paper proposes an online multiple object tracker that can operate under unknown detection profile and clutter rate. In a majority of multiple object tracking applications, model parameters for background processes such as clutter and detection are unknown and vary with time; hence, the ability...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE
2018
|
| Online Access: | http://purl.org/au-research/grants/arc/DP160104662 http://hdl.handle.net/20.500.11937/66760 |