Tracking Multiple Video Targets with an Improved GM-PHD Tracker
Tracking multiple moving targets from a video plays an important role in many vision-based robotic applications. In this paper, we propose an improved Gaussian mixture probability hypothesis density (GM-PHD) tracker with weight penalization to effectively and accurately track multiple moving targets...
| Main Authors: | , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
MDPI
2015
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721715/ |