Abstract:
According to an embodiment, a detecting device is mounted on a moving object. The detecting device includes an image acquiring unit, an operation information acquiring unit, a setting unit, and a detector. The image acquiring unit is configured to acquire an image. The operation information acquiring unit is configured to acquire an operation in the moving object. The operation affects the image. The setting unit is configured to set a parameter based on the operation. The detector is configured to detect an object area from the image by performing a detection process in accordance with the set parameter.
Abstract:
An information processing apparatus has a communication part, a message receiving part, a network-information acquiring part, a peripheral-apparatus information managing part, a task accepting part, a task allocating part, a task processing part, a process-related information generating part, and a message transmitting part configured to generate a message that includes the process-related information and transmit the message including the process-related information to the other communication apparatuses via the communication part and the network.
Abstract:
A measurement device of an embodiment includes an imaging unit, an acquisition unit, an output control unit, and an input unit. The imaging unit captures a first image. The acquisition unit acquires auxiliary information candidates for assisting in estimating the captured location of the first image based on the first image. The output control unit outputs the auxiliary information candidates to an output unit. The input unit receives input to select auxiliary information from the auxiliary information candidates.
Abstract:
An information processing apparatus according to one embodiment includes a processing circuit. The processing circuit calculates a first presence probability of an object present around a moving body with positional information measured by each of a plurality of sensors having different characteristics, acquires non-measurement information indicating that the positional information on the object has not been obtained for each of the sensors, and determines a second presence probability of the object based on the first presence probability and the non-measurement information.
Abstract:
According to an embodiment, an information processing apparatus includes an attribute determiner and a setter. Each of acquired first sets indicates a combination of observation information indicating a result of observation of an area surrounding a moving body and position information. The attribute determiner is configured to determine, based on the observation information, an attribute of each of areas into which the area surrounding the moving body is divided, and to generate second sets, each indicating a combination of attribute information indicating the attribute of each area and the position information. The setter is configured to set, based on the second sets, reliability of the attribute of the area of a target second set, from correlation between the attribute of the area of the target second set and the attribute of corresponding areas each indicating the area corresponding to the target area in the areas of the other second sets.
Abstract:
According to an embodiment, an information processing apparatus includes a memory having computer executable components stored therein; and a processing circuit communicatively coupled to the memory. The processing circuit acquires a plurality of pieces of observation information of surroundings of a moving body, generates a plurality of pieces of attribute information of the surroundings of the moving body on the basis of the plurality of pieces of observation information, and sets a reliability of the attribute information of the surroundings of the moving body on the basis of correlation of the plurality of pieces of attribute information.
Abstract:
According to an embodiment, an image processing apparatus includes a hardware processor. The hardware processor is configured to acquire an image; calculate a density of an object captured in a region obtained by dividing the image; calculate a first density relative value of the region to a surrounding region which is surrounding the region; and detect an attention region out of the regions included in the image according to the first density relative value.
Abstract:
According to an embodiment, an information processing apparatus includes a processor. The processer is configured to measure a viewing time indicating a time during which a person existing in front of a display medium views the display medium; control, in a variable manner, a threshold of the viewing time based on content of the display medium; and count a number of object persons, the object person indicating a person with the viewing time equal to or greater than the threshold.
Abstract:
An information processing apparatus according to an embodiment includes one or more hardware processors configured to function as a correspondence relationship acquisition unit, a selection unit, and a calculation unit. The correspondence relationship acquisition unit is configured to calculate a plurality of image features from a plurality of images captured by a camera and acquire a correspondence relationship between the image features. The selection unit is configured to select a plurality of correspondence relationships, based on effectiveness of the correspondence relationship and an influence on at least one of the images when the correspondence relationship with the effectiveness lower than an effectiveness threshold is eliminated. The calculation unit is configured to calculate at least one of a position and direction of the camera and three-dimensional information on the image features from the correspondence relationship selected from among the correspondence relationships.
Abstract:
A computer program product includes a computer-readable recording medium on which programmed instructions causing a computer to perform the following processing are recorded. The computer specifies a reference coordinate system of a three-dimensional position. The computer detects, from an image data, an area in which a designated target object is included. The computer extracts, from three-dimensional point cloud data, extraction point cloud data representing a three-dimensional position of an object in a target area. The computer generates target object information. A shape and an orientation of a first portion of the designated target object are defined. The orientation is defined for one of coordinate axes in the reference coordinate system. The computer generates the target object information by fitting the target object model to the extraction point cloud data under a condition that an orientation of the target object model matches an orientation defined for the first portion.