Vision-based sleep mode detection for a smart TV
Abstract:
Sleep mode detection is one of the significant features of
power management and green computing. However, for a television or a smart TV,
it is difficult to detect a deactivation event because the user can use these
devices without input from an input device. We propose a robust method to
detect deactivation events based on a vision approach involving face detection
and motion detection for a smart TV. Experiments are performed on a large
dataset. The proposed approach significantly reduces false detections of faces
and complement missed humans by means of motion detection.
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