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CHANGES.txt
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WiSE-MNet 1.4: Changes from WiSE-MNet 1.3 (Oct 2017)
------------------------------------------
- Merged application layer hierarchy based on three interfaces:
WiseBaseApp, WiseCameraApp and WiseCameraPeriodicApp.
- Improved documentation
- Added new simulation files in "wise/simulations" for basic functionality
"wise/simulations/wiseTest" and for demonstrators shown during tutorial
@ ICIP 2017 (sept 2017) in "wise/simulations/Tutorial_ICIP17"
WiSE-MNet 1.3: Changes from WiSE-MNet 1.2 (Aug 2017)
------------------------------------------
- Improved documentation & bug fixes
WiSE-MNet 1.2: Changes from WiSE-MNet 1.1 (May 2017)
------------------------------------------
- Improved documentation & bug fixes
- Added support for omnetpp 5.0 and opencv 3.2.0
- Added new algorithm MTIC for multi-target tracking
- Added support to download and use multi-camera datasets in directory 'videos'
WiSE-MNet 1.1: Changes from WiSE-MNet 0.1 (Oct 2015)
------------------------------------------
- Included new sensing model to consider directionality of FOVs for cameras.
The parameters can configured in the *.ini files. Included sample project
to show its use.
- New PhysicalProcess for reading videofiles in disk (WiSEVideoFile).
It has no movement, only simulation of a sensing device in a camera.
- Improved the synchronization between analysis and topology discovery. Currently,
all nodes participate in topology discovery (communication and vision) and no
node starts analysis until both discoveries have been completed.
- Included a base class for algorithms to periodic analize content using
a finite state machine (wiseCameraPeriodicAlgo) similar to the
application for target tracking (wiseCameraPeriodicTracker) existing in
the previous version.
- Included a buffer to support delayed communication. Implemented within
the distributed single target tracker (KCF).
- Included new functions to handle the communication and vision graphs within
the network. Each node can send data to all neighborgs via a single function.
- Include new tests for different FOV shapes and sources-to-sink scenarios for
video transmission.
- Implemented a buffer to support delayed communication. Implemented within
the distributed single target tracker (KCF).
- Included additional documentation for WiSE related functions. The
doxygen-style documentation is include in directory "doc/html"
- Implemented new algorithms for distributed single target tracking
based on Kalman and Information Consensus Filters (KCF, ICF)
- Implemented new algorithms for distributed multiple target tracking
based on Information Consensus Filters and Nearest Neighborg (ICF-NN)