v3.7.0
- Introduce EvidenceLevel in settings.ini: this parameter allows for quicker ID assignment on observations if the level is lowered, or builds up more evidence for ID assignment when the level is increased. Default level=3. This parameters indicates the number of detection required before assigning an ID to the user.
- More robust Age/Gender classifiers
- More robust Asian Age/Gender classifiers
- VS2015 support
v3.6.3
- More robust Asian Gender classifier
- getNumThreads and setNumThreads to control the number of threads CrowdSight can utilize
- Bugfixes
v3.6.2
- firstSeen for Person interface
- Speed optimizations
- Bugfixes
v3.6.1
- Android SDK release with fully updated interface
- TBB integration for Android
- Upgrade OpenCV for Android to 2.4.10
v3.6.0
- TBB integration for desktop: CrowdSight can speed up processing time by utilizing multiple threads
- Complete set of getter/setter functions for runtime adjustable CrowdSight settings
- Improved Face Tracking
- Improved Age/Gender classifiers
- Upgrade OpenCV to 2.4.10
v3.5.2
- Speed optimizations
- Bugfixes
v3.5.1
- Bugfixes
v3.5
- Landmarker points of the face
- Illumination normalization
- Headgaze feature
- Improved Ethnicity classifier
- Improved Age/Gender classifiers
- Further decreasing size of classifiers to decrease overall package size
v3.0
- Introduce Ethnicity classifier
- Improved Age/Gender classifiers
- Face Identification module
- Face tracking module
- Decrease size of classifiers to decrease overall package size
v2.2
- Mobile version
- Adaptive face acceptance thresholding
- More consistent model load and save
- Changes to the settings file
- Changes to the "person" interface for interchangeability with insight
- Averaging buffer is now internal to the SDK
- New example project, uses make for compilation on Linux and Mac
- Bug fixes
v2.1
- Night vision mode for applications that use night vision camera
- Asian mode for improved accuracy on asian countries
v2.0
- New function getEmotions, returning responses for the 6 universal emotions
- Adaptive filter becomes more flexible for training with new adjustable settings
- Improved gender classification
- Integration new licensing server and developer/redistribution licensing scheme
- New function setMaxNumPeople to regulate the maximum amount of people to be tracked simultaneously.
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