single face tracker

Web API including demos, documentation and samples of usage

Service for face and facial features finding and recognition

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Your face tells everything Extract emotional insights from facial emotions

Optical Flow based Tracking

Optical flow is defined as spatio-temporal image brightness variations. To track a face across a sequence of frames, we use Lucas-Kanade optical flow algorithm[10] to estimate the motion of extracted facial features between adjacent frames in the sequence.

single face tracker feature

CAMShift based Tracking

The CAMShift algorithm[9] is an adaption of the Mean Shift algorithm for object tracking. The Mean Shift algorithm is a robust, non-parametric technique that climbs the gradient of a probability distribution to find the mode (peak) of the distribution.

single face tracker feature
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Main Output of Single Face Tracker

Face detection and tracking is the process of determining whether or not a face is present in an image. Unlike face recognition—which distinguishes different human faces, face detection only indicates whether or not a face is present in an image.

Face Blinker
Face scale
Face Tracker

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