Abstract: According to one embodiment, an information associating apparatus includes an acquisition unit configured to acquire an acquisition image taken by a camera and individual identification information of the camera, an analysis unit configured to analyze attribute information of the camera from an attribute information expression body shown in the acquisition image, a detection unit configured to detect an pattern representing a specific direction recorded in the acquisition image and an association unit configured to form a pair by associating the individual identification information and the attribute information based on a detection result concerning the specific direction calculated from the pattern.

Abstract: A fitting includes: a first member; a second member coupled by screw coupling with the first member; and a ferrule placed in an accommodation space between the first member, the second member, and a pipe. The ferrule has a rising portion including a first end portion, a pressed portion located closer to a second end portion than the rising portion, and an intermediate portion including a portion where an inner diameter is greater than the first end portion and the second end portion, the intermediate portion connecting together the rising portion and the pressed portion. The first member has a first tapered inner circumferential surface, which is an inner circumferential surface having a tapered shape, to be in contact with the first end portion of the ferrule. The second member has a pressing portion for pressing at least a portion of the pressed portion of the ferrule.

Abstract: According to one embodiment, a facial image search system including attribute discrimination module configured to discriminate attribute based on facial feature extracted, a plurality of search modules configured to store facial feature as database in advance, add facial feature extracted to database, calculate degree of similarity between facial feature extracted and facial feature contained in database, setting module configured to generate setting information by associating with any attribute with information indicating search module, and control module configured to identify one or a plurality of search modules based on setting information and attribute and transmit facial feature extracted by feature extraction module to identified search modules.

Abstract: An underwater welding apparatus includes: an underwater welding head provided underwater and having, at its leading end, a nozzle section from which laser light is emitted; a shied cover formed of an elastic member and provided around the nozzle section so as to form, at the leading end of the underwater welding head, a space where water is excluded by shield gas; and an expansion/contraction member having a discharge hole for discharging water and shield gas containing metal dust particles from an inside of the shield cover, the discharge hole being increased in diameter as pressure inside the shield cover rises, while being reduced in diameter as the pressure inside the shield cover falls.

Abstract: When a feature vector is converted to a reduced vector, a converting unit samples N components of interest from the M components of the feature vector, executes the process of calculating one component of the reduced vector from the N components of interest by d times to create the d-dimensional reduced vector and, the converting unit (1) excludes the components within a predetermined distance D in the same row as the previous component of interest sampled at the previous sampling, (2) excludes the components in the same column as the previous component of interest including the component k rows apart and within the distance (D?k) from the component k rows apart, and (3) samples the component of interest of this time from the remaining components after exclusion when sampling the component of interest.

Abstract: An object of the present invention is to provide a heavy metal removing apparatus which can efficiently remove the heavy metal contained in the dust produced by burning of the raw material containing the heavy metal, and a cement production system comprising the heavy metal removing apparatus. The heavy metal removing apparatus 10 comprises a cyclone separator 11 which separates exhaust gas containing the heavy metal from a part of the dust heated to a temperature equal to or more than a temperature at which the heavy metal can volatilize, a bag filter 13 which is connected to the subsequent stage of the cyclone separator 11 and separates the exhaust gas containing the heavy metal from the remainder of the dust, and a heavy metal removal tower 14 which is connected to the subsequent stage of the bag filter and removes the heavy metal from the exhaust gas.

Abstract: An adjusting apparatus sets a designated value of a current source circuit to be a predetermined value, and causes discharging of a capacitor to end by switching a switch to a discharging side when the capacitor is not being charged by current output from a switching power source circuit. After the discharging of the capacitor ends and the designated value is set, the adjusting apparatus causes the capacitor to be charged by switching the switch to a charging side. The adjusting apparatus further measures a time period from the time when the switch is switched to the charging side until an electric potential difference of the capacitor exceeds a threshold value. Based on the measured time period and the predetermined value, the adjusting apparatus calculates the designated value such that the measured time period is a predetermined time period.

Abstract: According to one embodiment, a person image processing apparatus includes: an input processor configured to input a plurality of pieces of image data captured at different times by an image capture module; an extraction module configured to extract a person display area showing a same person from each of the pieces of image data captured at the different times; a feature detector configured to detect a feature point showing a feature of a part of a person from the person display area extracted from each of the pieces of image data and acquire reliability of the part shown in the feature point; and a correction module configured to, when correcting the person display area subjected to input processing by the input processor, perform weighting based on the reliability of the feature point included in the person display area.

Abstract: A pattern search apparatus includes a storage unit, a distribution acquisition unit, a hash function unit, a training unit, and a search unit. A cumulative probability distribution of the training pattern on an arbitrary axis is obtained, and hash function each of which divides a probability value are defined based on the cumulative probability distribution.

Abstract: The present invention provides an adhesive wheel balance weight capable of drastically reducing costs from those of conventional ones, and a process for producing the same. In an adhesive wheel balance weight (W) comprising a weight body (P) and an adhesive tape (T) for attaching the weight body (P) to a vehicle wheel, the weight body (P) comprises a folded weight comprising a folded metal plate piece. The folded weight of the present invention can be formed from a relatively inexpensive raw material sheet at a high yield rate. It is preferable that the raw material sheet is a zinc-coated steel sheet, because no rust-proofing aftertreatment is necessary and therefore further cost reduction is achieved, and its environmental burden is small.

Abstract: An objective of the invention disclosure is to provide a composite porous film that has both a sufficient chemical resistance and strength allowing suppression of heat deflection under a liquid at a high temperature, and a filter using the same; the composite porous film for fluid separation to be provided according to the invention includes a fluoropolymer resin and a SiO2 glass.

Abstract: According to one embodiment, a face recognizing apparatus includes: a storage unit; an input unit; a face detector; an extractor; and a recognizing unit. The storage unit stores face feature information on a face feature of each person. The input unit receives image information including at least a face of a person. The face detector detects a face region of the face of the person from the image information received by the input unit. The extractor extracts face feature information on a face feature from the face region detected by the face detector. The recognizing unit recognizes the person in the image information received by the input unit based on the feature information extracted by the extracting unit and the face feature information stored in the storage unit.

Abstract: According to one embodiment, an image processing device includes an obtaining unit configured to obtain a plurality of images captured in time series; a first calculating unit configured to calculate a first change vector indicating a change between the images in an angle representing a posture of a subject included in each of the images; a second calculating unit configured to calculate a second change vector indicating a change in coordinates of a feature point of the subject; a third calculating unit configured to calculate an intervector angle between the first change vector and the second change vector; and a determining unit configured to determine that the subject is three-dimensional when the intervector angle is smaller than a predetermined first threshold.

Abstract: A moving object tracking system includes an input unit, a detection unit, a creating unit, a weight calculating unit, a calculating unit, and an output unit. The detection unit detects all tracking target moving objects from each of input images input. The creating unit creates a combination of a path that links each moving object detected in a first image to each moving object detected in a second image, a path that links each moving object detected in the first image to an unsuccessful detection in the second image, and a path that links an unsuccessful detection in the first image to each moving object detected in the second image. The calculating unit calculates a value for the combination of the paths to which weights are allocated. The output unit outputs a tracking result.

Abstract: According to one embodiment, a facial image search system including, search module configured to calculate degree of similarity between facial features extracted by feature extraction module and facial features contained in database and output search result based on calculated degree of similarity, measuring module configured to measure amount of search result output by search module, and selection module configured to sort out search result output by search module if amount of search result measured by measuring module is equal to or more than preset threshold.

Abstract: According to one embodiment, a facial image search system including attribute discrimination module configured to discriminate attribute based on facial feature extracted, a plurality of search modules configured to store facial feature as database in advance, add facial feature extracted to database, calculate degree of similarity between facial feature extracted and facial feature contained in database, setting module configured to generate setting information by associating with any attribute with information indicating search module, and control module configured to identify one or a plurality of search modules based on setting information and attribute and transmit facial feature extracted by feature extraction module to identified search modules.

Abstract: When groups of coordinates of face areas respectively contained in mutually different frames are within a predetermined error range, a face attribute assigning unit assigns mutually the same face attribute value to each of the face areas. In the case where a difference in the feature amounts between the frames is within a predetermined error range, a similar shot detecting unit detects that the shots from which the frames have respectively been extracted are similar shots to each of which mutually the same shot attribute value is assigned. In the case where it is judged that face areas that respectively appear in the frames contained in the similar shots and to which mutually different face attribute values have respectively been assigned represent the face of mutually the same person, the face attribute re-assigning unit assigns mutually the same face attribute value to each of the face areas.

Abstract: According to one embodiment, an image search apparatus includes, an image input module which is input with an image, an event detection module which detects events from the input image input by the image input module, and determines levels, depending on types of the detected events, an event controlling module which retains the events detected by the event detection module, for each of the levels, and an output module which outputs the events retained by the event controlling module, for each of the levels.

Abstract: There is provided a copying apparatus that copies a workpiece, including a shoe that comes into contact with a portion of the workpiece to be copied, and a first swiveling unit that swivels with the shoe in an arc pattern around a point, as a swiveling center, on a plane where the shoe comes into contact with the portion of the workpiece to be copied.

Abstract: According to one embodiment, an image processing device includes a readiness determining unit configured to determine whether or not a state of a face image included in an image at one time out of images obtained at a plurality of different times is a ready state that satisfies a condition for performing three-dimensionality determination, three-dimensionality determination is determining whether the object is three-dimensional or not; an initiation determining unit configured to determine whether or not a state of a face image included in an image at different time from the image at the one time is an initiation state changed from the ready state; and a first three-dimensionality determining unit configured to perform the three-dimensionality determination on the face images included in the images when it is determined that the state is the initiation state.