Abstract:
An apparatus and method for estimating the number of objects in an input image are disclosed. The apparatus includes: a learning unit that calculates counted values of a linear regression function by learning an arbitrary image; a separation unit that separates a foreground region and a background region of the input image; an extraction unit that searches for features that require an amount of calculation that is below a particular threshold from features having high correlation with each other feature and extracts the features from the separated foreground region; and an estimation unit that estimates the number of objects in the foreground region as a dependent variable by allocating the counted values of the linear regression function that are calculated by the learning unit and the features that are extracted by the extraction unit as independent variables of a linear regression function.
Abstract:
A photographing apparatus and a method for controlling target tracking are provided. The photographing apparatus includes a target extractor for extracting target information in a present frame based on the difference between a pixel value of one pixel among previous pixels constituting the target of the previous frame in an area adjacent to the present pixel constituting the present frame and a pixel value of the present pixel, and a tracking controller for controlling automatic tracking for the target based on the target information. Accordingly, the target can be extracted more precisely.
Abstract:
An apparatus and method for estimating the number of objects in an input image are disclosed. The apparatus includes: a learning unit that calculates counted values of a linear regression function by learning an arbitrary image; a separation unit that separates a foreground region and a background region of the input image; an extraction unit that searches for features that require an amount of calculation that is below a particular threshold from features having high correlation with each other feature and extracts the features from the separated foreground region; and an estimation unit that estimates the number of objects in the foreground region as a dependent variable by allocating the counted values of the linear regression function that are calculated by the learning unit and the features that are extracted by the extraction unit as independent variables of a linear regression function.
Abstract:
A photographing apparatus and a method for controlling target tracking are provided. The photographing apparatus includes a target extractor for extracting target information in a present frame based on the difference between a pixel value of one pixel among previous pixels constituting the target of the previous frame in an area adjacent to the present pixel constituting the present frame and a pixel value of the present pixel, and a tracking controller for controlling automatic tracking for the target based on the target information. Accordingly, the target can be extracted more precisely.