Development Status
- 5 - Production/Stable
License
- OSI Approved :: Eclipse Public License 2.0 (EPL-2.0)
Intended Audience
- Science/Research
Topic
- Scientific/Engineering
Programming Language
- Python :: 3 :: Only
Operating System
- OS Independent
Python Efficient Hypothesis Management (PyEHM)
PyEHM is a Python package that includes open-source implementations of the Efficient Hypothesis Management (EHM) Algorithms described in [1], [2] and covered by the patent [3].
[1] Maskell, S., Briers, M. and Wright, R., 2004, August. Fast mutual exclusion. In Signal and Data Processing of Small Targets 2004 (Vol. 5428, pp. 526-536). International Society for Optics and Photonics
[2] Horridge, P. and Maskell, S., 2006, July. Real-time tracking of hundreds of targets with efficient exact JPDAF implementation. In 2006 9th International Conference on Information Fusion (pp. 1-8). IEEE
[3] Maskell, S., 2003, July. Signal Processing with Reduced Combinatorial Complexity. Patent Reference:0315349.1
Documentation
Please see the PyEHM documentation for installation instructions, API references and usage examples.
License
PyEHM is licenced under Eclipse Public License 2.0. See License for more details.
This software is the property of QinetiQ Limited and any requests for use of the software for commercial use or other use outside of the Eclipse Public Licence should be made to QinetiQ Limited.
The current QinetiQ contact is Richard Lane (rlane1 [at] qinetiq [dot] com).
