Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).

Abstract: To efficiency search for an object associated with a sensed event, an information processing apparatus includes a sensor that analyzes a captured video and senses whether a predetermined event has occurred, a determining unit that determines a type of an object to be used as query information based on a type of the event in response to sensing of the event occurrence, and a generator that detects the object of the determined type from the video and generates the query information based on the detected object.

Abstract: A video transmission apparatus (10) includes: a specified-position information acquisition unit (110) that acquires specified-position information indicating a specified position in an area to be surveilled including each imaging region corresponding to each of a plurality of imaging apparatuses; and a video transmission control unit (120) that selects at least one imaging apparatus from among the plurality of imaging apparatuses using imaging position information indicating a position or an imaging range of each of the plurality of imaging apparatuses and the specified-position information and transmits a video captured by the selected imaging apparatus to a video sharing apparatus that is to share the video.

Abstract: An information processing apparatus (2000) detects a stationary object from video data (12). In addition, the information processing apparatus (2000) executes person detection process of detecting a person in vicinity of an object (target object) detected as the stationary object for each of a plurality of video frames (14) which includes the target object. Furthermore, the information processing apparatus (2000) executes a predetermined process by comparing results of the person detection process for each of the plurality of video frames (14).

Abstract: An information processing apparatus (2000) includes a detection unit (2020), a state estimation unit (2040), and a height estimation unit (2080). The detection unit (2020) detects a target person from a video frame. The state estimation unit (2040) estimates a state of the detected target person. The height estimation unit (2080) estimates a height of the person on the basis of a height of the target person in the video frame in a case where the estimated state satisfies a predetermined condition.

Abstract: A surveillance information generation apparatus (2000) includes a first surveillance image acquisition unit (2020), a second surveillance image acquisition unit (2040), and a generation unit (2060). The first surveillance image acquisition unit (2020) acquires a first surveillance image (12) generated by a fixed camera (10). The second surveillance image acquisition unit (2040) acquires a second surveillance image (22) generated by a moving camera (20). The generation unit (2060) generates surveillance information (30) relating to object surveillance, using the first surveillance image (12) and first surveillance information (14).

Abstract: An information processing apparatus (2000) detects a stationary object from video data (12). In addition, the information processing apparatus (2000) executes person detection process of detecting a person in vicinity of an object (target object) detected as the stationary object for each of a plurality of video frames (14) which includes the target object. Furthermore, the information processing apparatus (2000) executes a predetermined process by comparing results of the person detection process for each of the plurality of video frames (14).

Abstract: A video surveillance system includes: a detection unit that detects a predetermined event on the basis of an image captured by a first imaging apparatus; and a control unit that controls a second imaging apparatus such that the second imaging apparatus captures an image of a predetermined position after the detection of the predetermined event.

Abstract: To efficiency search for an object associated with a sensed event, an information processing apparatus includes a sensor that analyzes a captured video and senses whether a predetermined event has occurred, a determining unit that determines a type of an object to be used as query information based on a type of the event in response to sensing of the event occurrence, and a generator that detects the object of the determined type from the video and generates the query information based on the detected object.

Abstract: An information processing device detects iris images of cosmetic lenses. A candidate extraction means extracts different iris images corresponding to the same person to be a cosmetic lens candidate. A confidence level calculation means matches iris features of the cosmetic lens candidate with iris features of other cosmetic lenses, and calculates a confidence level indicating a cosmetic lens likelihood. A determination means determines that the cosmetic lens candidate is a cosmetic lens with respect to the calculated confidence level that is equal to or higher than a predetermined threshold value.

Abstract: An object tracking apparatus, method and computer-readable medium for detecting an object from output information of sensors, tracking the object on a basis of a plurality of detection results, generating tracking information of the object represented in a common coordinate system, outputting the tracking information, and detecting the object on a basis of the tracking information.

Abstract: An information processing apparatus (2000) includes a detection unit (2020), a state estimation unit (2040), and a height estimation unit (2080). The detection unit (2020) detects a target person from a video frame. The state estimation unit (2040) estimates a state of the detected target person. The height estimation unit (2080) estimates a height of the person on the basis of a height of the target person in the video frame in a case where the estimated state satisfies a predetermined condition.

Abstract: A surveillance information generation apparatus (2000) includes a first surveillance image acquisition unit (2020), a second surveillance image acquisition unit (2040), and a generation unit (2060). The first surveillance image acquisition unit (2020) acquires a first surveillance image (12) generated by a fixed camera (10). The second surveillance image acquisition unit (2040) acquires a second surveillance image (22) generated by a moving camera (20). The generation unit (2060) generates surveillance information (30) relating to object surveillance, using the first surveillance image (12) and first surveillance information (14).

Abstract: There is provided an information acquisition apparatus including an output means for outputting guidance information for guiding a subject to move a head while gazing at a predetermined position, and an image acquisition means for acquiring an image including an iris of the subject after outputting the guidance information.

Abstract: A payment system includes: a merchandise reading unit that reads merchandise; a merchandise information acquisition unit that obtains a merchandise information about the read merchandise; a confirmation information output unit that outputs a confirmation information for confirming with a customer an intention of payment of the merchandise; a receiving unit that receives an input from the customer for the confirmation information; a face acquisition unit that obtains a face image of the customer; an iris acquisition unit that obtains an iris image of the customer; and a payment processing unit that performs a payment process for the merchandise on the basis of the input from the customer and on the basis of at least one of the face image and the iris image. According to such a payment system, the payment process for the merchandise can be properly performed.

Abstract: An object tracking apparatus, method and computer-readable medium for detecting an object from output information of sensors, tracking the object on a basis of a plurality of detection results, generating tracking information of the object represented in a common coordinate system, outputting the tracking information, and detecting the object on a basis of the tracking information.

Abstract: A biometric authentication apparatus (100) according to an example embodiment includes: facial landmark detection means (102) for detecting a landmark of a face from image information obtained by an image information obtaining means (101); subject position estimation means (103) for estimating a spatial position of the subject from the position information on the landmark, and generating estimated position information; focus control means (104) for determining whether an image is in focus or not, and performing focus control based on the estimated position information; lighting means (105) for controlling a light, based on the estimated position information; and biometric authentication means (106) for performing an authentication process using the image information determined to be in focus.

Abstract: A biometric authentication device, by utilizing difference distance information obtained on the basis of in-focus information indicating the degree of focusing in an image of a subject serving as the target of biometric authentication and an estimated distance to the subject obtained from the distance between feature points in the image, generates a corrected distance in which a deviation between the estimated distance and a focal distance to the subject has been corrected on the basis of the difference distance information. The biometric authentication device generates information for controlling a focal point during image acquisition of the subject on the basis of the corrected distance, and generates information for selecting an image to be biometrically authenticated from among images of the subject photographed after controlling the focal point.

Abstract: An imaging apparatus for authentication includes: a first imaging unit that obtains a first image used in a first authentication process by imaging a target person; a second imaging unit that obtains a second image used in a second image process by imaging the target person in an imaging range narrower than that of the first imaging unit; a drive unit that integrally drives the first imaging unit and the second imaging unit; and a drive control unit that controls the drive unit on the basis of the first image.

Abstract: An information processing apparatus (10) includes a time and space information acquisition unit (110) that acquires high-risk time and space information indicating a spatial region with an increased possibility of an accident occurring or of a crime being committed and a corresponding time slot, a possible surveillance target acquisition unit (120) that identifies a video to be analyzed from among a plurality of videos generated by capturing an image of each of a plurality of places, on the basis of the high-risk time and space information, and analyzes the identified video to acquire information of a possible surveillance target, and a target time and space identification unit (130) that identifies at least one of a spatial region where surveillance is to be conducted which is at least a portion of the spatial region or a time slot when surveillance is to be conducted, from among the spatial region and the time slot indicated by the high-risk time and space information, on the basis of the information of the