This is the Windows app named clmtrackr whose latest release can be downloaded as v1.1.2.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
clmtrackr
DESCRIPTION:
clmtrackr is a javascript library for fitting facial models to faces in videos or images. It currently is an implementation of constrained local models fitted by regularized landmark mean-shift, as described in Jason M. Saragih's paper. clmtrackr tracks a face and outputs the coordinate positions of the face model as an array. The library provides some generic face models that were trained on the MUCT database and some additional self-annotated images. Check out clmtools for building your own models. For tracking in video, it is recommended to use a browser with WebGL support, though the library should work on any modern browser. For some more information about Constrained Local Models, take a look at Xiaoguang Yan's excellent tutorial, which was of great help in implementing this library.
Features
- Tracking in image
- Tracking in video
- Face substitution
- Realtime face deformation
- Emotion detection
- Face masking
Programming Language
JavaScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/clmtrackr.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.