Kabushiki Kaisha Toshiba

Yuto Yamaji

Tomoyuki Shibata

Daisuke Kobayashi

Osamu Yamaguchi

Tsuyoshi Tasaki

Manabu Nishiyama

Hideo Umeki

Hidetaka Ohira

Hiroo Saito

Masayuki Maruyama

Yushiro Kashimoto

According to one embodiment, an information processing system includes a processor configured to detect a first object in an image in time-series image data and output object information indicating a detection of the first object. The processor calculates a movement status of one or more pixels included in the image by using a plurality of images in the time-series image data, and then outputs movement information indicating the movement status of the one or more pixels. The processor then detects whether a second object moves in conjunction with the first object based on the object information and the movement information.

Information processing system, information processing method, and program for detecting carried objects

An estimation apparatus includes one or more hardware processors configured to detect a first object included in time-series images, and generate a tracking trajectory of the first object; detect a state change event indicating an appearance, a disappearance, a bend, or a stay of the tracking trajectory, and extract a coordinate of the first object in which the state change event has occurred; and estimate a determination region based on the coordinate. Accordingly, the estimation apparatus is able to estimate more accurately an image region to be analyzed.

Estimating tracking determination region based on object state change event coordinates

A warning system according to an embodiment includes an acquisition unit, an analysis unit, and a calculation unit. The acquisition unit acquires, from first sensor data including information on a target, condition information on the target. The analysis unit analyzes, from second sensor data including information on a region, current state information on an object included in the region and action prediction information on the object. The calculation unit calculates a degree of caution, based on the condition information on the target, the current state information on the object, and the action prediction information on the object.

Warning system, warning method, and computer program product

According to an embodiment, a display control apparatus includes a clustering unit, a sub-clustering unit, and a display control unit. The clustering unit is configured to classify images into a plurality of clusters based on similarity degrees of the images and a first threshold. The sub-clustering unit is configured to further classify images within each of the plurality of clusters into a plurality of sub-clusters based on the similarity degrees and a second threshold that is higher than the first threshold. The display control unit is configured to display, on a display unit, display information including a cluster representative indicative of a representative of images included in a cluster and a sub-cluster representative indicative of a representative of an image included in a sub-cluster.

Display control apparatus, display control method, and computer program product

According to one embodiment, an information processing device according to an embodiment includes an acquisition unit, a detection unit, and a calculation unit. The acquisition unit acquires image data in which an image of a space where a plurality of specific objects exist is captured. The detection unit detects a position and an orientation of each of the plurality of specific objects included in the image data in the space. The calculation unit calculates, for any evaluation target object of the plurality of specific objects, a close-contact evaluation value indicating a degree of close contact between the evaluation target object and one or a plurality of other specific objects other than the evaluation target object among the plurality of specific objects, based on the position and the orientation of each of the plurality of specific objects.

Information processing device, information processing method, and program

An object count estimation apparatus according to an embodiment of the present disclosure includes a memory and one or more hardware processors coupled to the memory. The one or more hardware processors are configured to: obtain an image; set, based on the image, a local area size representing a unit of object count estimation in the image; and estimate an object count in the image for each local area having the set local area size.

Object count estimation apparatus, object count estimation method, and computer program product

According to one embodiment, an information processing device includes a processor and a memory. The processor determines whether an object included in an image belongs to a first group or not. The processor calculates at least one of first statistical information of an object determined to belong to the first group or second statistical information of an object determined not to belong to the first group. The processor stores at least one of the first statistical or the second statistical information in the memory. The processor executes display processing for at least one of the first statistical information or the second statistical information stored in the memory.

Information processing device calculating statistical information

According to one embodiment, a retrieval device includes one or more processors configured to retrieve a plurality of search image regions from an intended image through image search using a search query, extract a plurality of learning image regions from a learning image used in learning of the image search, through the image search using the search query, and display the search image regions and the learning image regions on a display.

Retrieval device, retrieval method, and computer program product

According to an embodiment, an information processing apparatus includes a memory and processing circuitry. The processing circuitry configured to acquire a plurality of input images captured at a specific place. The processing circuitry configured to adapt an estimation model used for detecting a target object included in images to the specific place based on the plurality of input images. The processing circuitry configured to output a result of determination of an adaptation state for the specific place in the estimation model.

Information processing apparatus and information processing method

According to an embodiment, a moving object tracking apparatus includes an acquiring unit, an associating unit, and an output control unit. The acquiring unit is configured to acquire a plurality of pieces of moving object information representing a moving object included in a photographed image. The associating unit is configured to execute an associating process for associating a plurality of pieces of the moving object information similar to each other as the moving object information of the same moving object for three or more pieces of the moving object information. The output control unit is configured to output the associated moving object information.

Moving object tracking apparatus, moving object tracking method, and computer program product

An image processing device includes one or more processors. The processors detects two or more first partial areas corresponding to each of two or more portions among a plurality of portions that are included in an object and that are set in advance from a first image, and detect two or more second partial areas corresponding to each of two or more portions among the portions from a second image. The processors extracts two or more first feature vectors from two or more of the first partial areas, and extract two or more second feature vectors from two or more of the second partial areas. The processors determines whether an object included in the first image and an object included in the second image are same, by using the first feature vectors and the second feature vectors.

Image processing device, image processing method, and computer program product

According to an embodiment, a moving object tracking device includes a memory having computer executable components stored therein; and a processor communicatively coupled to the memory. The processor is configured to perform acquiring a plurality of images; generating a plurality of pieces of tracking information indicating information obtained by tracking a moving object included in the images; generating first associated tracking information obtained by first association targeting the plurality of pieces of tracking information having a mutual time difference equal to or smaller than a threshold; generating second associated tracking information obtained by second association targeting the first associated tracking information and the tracking information, not associated by the first association, based on authentication information for identifying the moving object; and outputting the second associated tracking information.

Moving object tracking device, display device, and moving object tracking method

According to an embodiment, an estimation apparatus includes a memory and a processor. The processor acquires a first measurement point groups obtained by measuring a periphery of a first moving object. The processor estimates a position and posture of the first moving object. The processor classifies first measurement points serving as candidates of measurement points on a second moving object in the newest first measurement point group as candidate points. The processor acquires second moving object information from the second moving object. The processor calculates an evaluation value using a first likelihood defined according to a position relationship between an orientation of a region specified from the second moving object information and the candidate points. The processor estimates a position and posture of the second moving object based on the evaluation value.

Estimation apparatus, estimation method, and computer program product

A control device includes one or more processors. The processors detect a target captured in an image, and calculate likelihood indicating whether the target is concealed. The processors decide on an output method for outputting the target according to the likelihood. The processors generate a display image based on the image and the decided output method.

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Kawasaki, Japan

Yuto Yamaji