A multi-cue spatio-temporal framework for automatic frontal face clustering in video sequences
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Abstract
We propose a method to cluster-specific object detections of a video sequence, which we applied to face detections.
The proposed method is based on three main stages
First we use a face detector to localize faces in all frames of the video and extract various features of the detections.
These features are then used to compute a dissimilarity matrix based on appearance and space–time.
Finally, an optimization method involving a probabilistic model is employed to group all the detections according to the dissimilarity matrix.
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