Local detection and estimation of multiple objects from images with overlapping observation areas

Rene Repp; Günther Koliander; Florian Meyer; Franz Hlawatsch

ICASSP 2017accepted0 citations

Local detection and estimation of multiple objects from images with overlapping observation areas

Rene Repp, Günther Koliander, Florian Meyer, Franz Hlawatsch

Abstract

We propose a method for detecting and estimating multiple objects from multiple noisy images with partly overlapping observation areas. The goal is to detect the objects that are “locally” present in the individual observation areas and to estimate their states. Our method is based on a new closed-form expression of the marginal posterior probability hypothesis density (PHD) and admits a distributed implementation. Simulation results demonstrate performance gains over correlation-based and PHD-based methods that do not take advantage of the overlapping observation areas.

BibTeX

@inproceedings{icassp2017_localdetectionan,
  title = {Local detection and estimation of multiple objects from images with overlapping observation areas},
  author = {Rene Repp and Günther Koliander and Florian Meyer and Franz Hlawatsch},
  booktitle = {ICASSP 2017},
  year = {2017}
}