Abstract: There is provided an arousal state classification model generating device for generating a blink waveform pattern model and an arousal state pattern model based on data on a blink waveform, which are preferably used for accurately estimating an arousal level with respect to unspecified object persons, an arousal state classifying device for classifying the arousal state of an object person, and a warning device. In the arousal state classification model generating device, a first pattern model is generated by learning a statistical model by using as learning data first feature data extracted from the blink data of at least one of the eyes of each object person at the time of blinking and blink waveform identification information.

Abstract: Method, device, and computer program product for detecting an object in a digital image are provided. The method includes providing a detection window and determining at least one area of the object in the digital image by traversing the detection window by a first step size onto a set of pixels. Further, at each pixel, presence of at least one portion of the object in the detection window is detected. Upon detection of the presence of the object, the detection window is shifted by a second step size to neighbouring pixels. Further, the detection window is selected as an area of the object if the at least one portion of the object is present in at least a threshold number of detection windows at the neighbouring pixels. Thereafter, an object area representing the object in the digital image is selected based on the at least one area.

Abstract: There is provided an arousal state classification model generating device for generating a blink waveform pattern model and an arousal state pattern model based on data on a blink waveform, which are preferably used for accurately estimating an arousal level with respect to unspecified object persons, an arousal state classifying device for classifying the arousal state of an object person, and a warning device. In the arousal state classification model generating device, a first pattern model is generated by learning a statistical model by using as learning data first feature data extracted from the blink data of at least one of the eyes of each object person at the time of blinking and blink waveform identification information.