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

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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