Abstract: Provided is an analysis apparatus (10) including a person extraction unit (11) that analyzes video data to extract a person, a time calculation unit (12) that calculates a continuous appearance time period for which the extracted person has been continuously present in a predetermined area and a reappearance time interval until the extracted person reappears in the predetermined area for each extracted person, and an inference unit (13) that infers a characteristic of the extracted person on the basis of the continuous appearance time period and the reappearance time interval.

Abstract: Provided is a match determination device that efficiently specifies the same analysis target from a plurality of pieces of sensing information. The present invention specifies a selected feature quantity that has been selected from one or more feature quantities for analysis targets that are included in analysis groups and, on the basis of a combination of selected feature quantities from different analysis groups, evaluates whether there are matching analysis targets between a plurality of analysis groups. When the evaluation indicates that there are matching analysis targets between analysis groups, the present invention specifies that analysis targets in the different analysis groups are the same target.

Abstract: Provided is a processing apparatus (10) including a person detection unit (11) that detects a person from an image generated by a camera that photographs a target area, a computation unit (12) that analyzes the image and computes, for each person, a stay time in the target area and a degree of bias of an appearance position in the target area, and a target person extraction unit (13) that extracts a target person who is a person for whom a computation result by the computation unit (12) satisfies a predetermined condition.

Abstract: The analysis apparatus (2000) includes a co-appearance event extraction unit (2020) and a frequent event detection unit (2040). The co-appearance event extraction unit (2020) extracts co-appearance events of two or more persons from each of a plurality of sub video frame sequences. The sub video frame sequence is included in a video frame sequence. The analysis apparatus (2000) may obtain the plurality of sub video frame sequences from one or more of the video frame sequences. The one or more of the video frame sequences may be generated by one or more of surveillance cameras. Each of the sub video frame sequences has a predetermined time length. The frequent event detection unit (2040) detects co-appearance events of the same persons occurring at a frequency higher than or equal to a pre-determined frequency threshold.

Abstract: A data processing apparatus (1) of the present invention includes a unit that retrieves a predetermined subject from moving image data. The data processing apparatus includes a person extraction unit (10) that analyzes moving image data to be analyzed and extracts a person whose appearance frequency in the moving image data to be analyzed satisfies a predetermined condition among persons detected in the moving image data to be analyzed, and an output unit (20) that outputs information regarding the extracted person.

Abstract: A data processing apparatus (1) of the present invention includes a unit that retrieves a predetermined subject from moving image data. The data processing apparatus includes a person extraction unit (10) that analyzes moving image data to be analyzed and extracts a person whose appearance frequency in the moving image data to be analyzed satisfies a predetermined condition among persons detected in the moving image data to be analyzed, and an output unit (20) that outputs information regarding the extracted person.

Abstract: The analysis apparatus (2000) includes a co-appearance event extraction unit (2020) and a frequent event detection unit (2040). The co-appearance event extraction unit (2020) extracts co-appearance events of two or more persons from each of a plurality of sub video frame sequences. The sub video frame sequence is included in a video frame sequence. The analysis apparatus (2000) may obtain the plurality of sub video frame sequences from one or more of the video frame sequences. The one or more of the video frame sequences may be generated by one or more of surveillance cameras. Each of the sub video frame sequences has a predetermined time length. The frequent event detection unit (2040) detects co-appearance events of the same persons occurring at a frequency higher than or equal to a pre-determined frequency threshold.

Abstract: A server (20) stores person information in which a feature of an appearance and a feature of a motion of a person extracted from a video are associated with each other, searches for the person information using input information received from a terminal apparatus (10) as a key, and returns a search result to the terminal apparatus (10). The terminal apparatus (10) acquires and stores a part or a whole of the person information stored in the server (20) from the server (20), performs a search using the input information as a key, and displays the search result on a display as a candidate of information to be input in an input field.

Abstract: The present disclosure relates to a data clearing method, apparatus, and storage medium. The method includes: determining whether a difference between a latest access time of data stored in a currently scanned node in a data structure, and a current time is greater than a predetermined threshold, where the data structure includes a plurality of nodes and each node store a latest access time and file information of respective data to be cleared; if the difference is greater than the predetermined threshold, determining whether the data to be cleared is in a white list; if the data to be cleared corresponding to the currently scanned node is in the white list, continuing to scan a next node; and if the data to be cleared corresponding to the currently scanned node is not in the white list, clearing the data to be cleared corresponding to the currently scanned node.

Abstract: The analysis apparatus (2000) includes a co-appearance event extraction unit (2020) and a frequent event detection unit (2040). The co-appearance event extraction unit (2020) extracts co-appearance events of two or more persons from each of a plurality of sub video frame sequences. The sub video frame sequence is included in a video frame sequence. The analysis apparatus (2000) may obtain the plurality of sub video frame sequences from one or more of the video frame sequences. The one or more of the video frame sequences may be generated by one or more of surveillance cameras. Each of the sub video frame sequences has a predetermined time length. The frequent event detection unit (2040) detects co-appearance events of the same persons occurring at a frequency higher than or equal to a pre-determined frequency threshold.

Abstract: The analysis apparatus (2000) includes a co-appearance event extraction unit (2020) and a frequent event detection unit (2040). The co-appearance event extraction unit (2020) extracts co-appearance events of two or more persons from each of a plurality of sub video frame sequences. The sub video frame sequence is included in a video frame sequence. The analysis apparatus (2000) may obtain the plurality of sub video frame sequences from one or more of the video frame sequences. The one or more of the video frame sequences may be generated by one or more of surveillance cameras. Each of the sub video frame sequences has a predetermined time length. The frequent event detection unit (2040) detects co-appearance events of the same persons occurring at a frequency higher than or equal to a pre-determined frequency threshold.

Abstract: A method to detect the presence or amount of at least one molecule in a sample which employs a derivative of luciferin or a derivative of a fluorophore is provided. Compounds and compositions for carrying out the methods of the invention are also provided.

Abstract: A search apparatus (10) including a storage unit (11) that stores video index information including correspondence information which associates a type of one or a plurality of objects extracted from a video with a motion of the object, an acquisition unit (12) that acquires a search key associating the type of one or the plurality of objects as a search target with the motion of the object, and a search unit (13) that searches the video index information on the basis of the search key is provided.

Abstract: An index generating device (100) comprises: an index generating unit (101) which uses an interdata similarity degree which is computed by a similarity computation unit (105) to generate an index which includes a lower order node, and a higher order node which includes an entry having a link relation with the lower order node and indicating representative data having a similarity degree with data indicated by an entry in the lower order node greater than or equal to a similarity threshold value appended to the link relation; and a threshold setting unit (102) which sets the similarity threshold to a value which increases the further down the hierarchy.

Abstract: An acquisition unit (2020) acquires a combination of person information and transaction information for a first transaction. The person information is information representing a person who executes a transaction. The transaction information is various kinds of information regarding the transaction. A storage device (10) stores transaction information of each transaction. Using the person information of the first transaction acquired by the acquisition unit (2020), a detection unit (2040) acquires transaction information of a transaction (second transaction), which is executed by a person having a high degree of similarity with a person who executes the first transaction, from the storage device (10). The detection unit (2040) detects an abnormal transaction using the transaction information of the first transaction and the transaction information of the second transaction.

Abstract: An information processing apparatus (100) includes an input unit (102) that inputs a first threshold value and a second threshold value which are threshold values related to a degree of similarity of a feature value of each of a plurality of pieces of data, the first threshold value being for regarding data as belonging to an identical group and the second threshold value being smaller than the first threshold value, and a grouping unit (104) that groups the data by using the degree of similarity, the first threshold value, and the second threshold value, in which the grouping unit (104) causes data of which the degree of similarity with representative data is greater than the first threshold value to be included in the same group, and selects new representative data from among pieces of data of which the degree of similarity with the representative data already present is less than the second threshold value.

Abstract: According to the present invention, an analysis system (10) including a generation unit (11) that generates frequency data indicating a temporal change in an occurrence frequency of a predetermined event for each processing object, and an extraction unit (12) that extracts the processing object having a first feature appearing in the frequency data as a possible abnormal object is provided.

Abstract: A data processing apparatus (1) of the present invention includes a unit that retrieves a predetermined subject from moving image data. The data processing apparatus includes a person extraction unit (10) that analyzes moving image data to be analyzed and extracts a person whose appearance frequency in the moving image data to be analyzed satisfies a predetermined condition among persons detected in the moving image data to be analyzed, and an output unit (20) that outputs information regarding the extracted person.

Abstract: The present disclosure relates to a method and a device for processing a verification code. The method includes: acquiring the verification code in a message; determining whether the verification code has expired; and allowing an operation corresponding to the verification code if the verification code has not expired.

Abstract: An index generation apparatus includes: an index generation unit generating the index including a lower node and an upper node by using a degree of similarity between pieces of data, the upper node including an entry having a link relationship with the lower node and indicating representative data, the representative data having the degree of similarity with respect to data indicated by the entry of the lower node that is equal to or greater than a similarity degree threshold value given to the link relationship; and a threshold value determination unit determining a default similarity degree threshold value and an adjustment value with respect to each link relationship between the upper node and the lower node, and determining each similarity degree threshold value to be given to each link relationship by subtracting the adjustment value from the default similarity degree threshold value.