Abstract: An image processing apparatus includes an acquisition unit, a setting unit, and a display unit. The acquisition unit is configured to acquire captured time-series images. The setting unit is configured to set a direction of measuring a flow quantity of targets in the time-series images. The display unit is configured to display information representing the flow quantity of the targets that is estimated based on a plurality of images acquired from the time-series images and the direction of measuring the flow quantity, together with information indicating the direction of measuring the flow quantity.

Abstract: By a first grouping pattern, a plurality of regions for which a filter operation is to be performed in an operation target image are grouped. Then, for each group obtained by the first grouping pattern, a first filter corresponding to the group is used to perform a filter operation on each region belonging to the group. By a second grouping pattern, a plurality of regions for which a filter operation is to be performed in an intermediate image obtained by the filter operation are grouped. Then, for each group obtained by the second grouping pattern, a second filter corresponding to the group is used to perform a filter operation on each region belonging to the group.

Abstract: An information processing apparatus includes an acquiring unit to acquire an input image including an object, an extraction unit to extract a region that has been changed from a background image in the input image, as a changing region, a generating unit to generate a change region image in which a pixel value of each pixel represents whether or not a corresponding pixel in the input image belongs to the changing region, an extraction unit to extract a plurality of feature images from the input image as an output of a neural network by inputting a combination of the input image and the change region image to the neural network, and a detection unit to detect a position of the object from the plurality of feature images.

Abstract: An image processing apparatus includes a measurement area setting unit that sets a measurement area in an input image, a small image setting unit that sets a small image in the input image based on the measurement area, a first estimation unit that estimates a flow distribution of a target in the small image, and a second estimation unit that estimates the number of targets to pass through the measurement area based on the flow distribution in the small image.

Abstract: An image processing apparatus including a determination unit configured to determine, for each of a plurality of partial areas set in an input image, a priority for executing a first image analysis process, based on an image of the partial area and a corresponding image corresponding to the partial area, the corresponding image being in a past image analyzed before the input image, a selection unit configured to select at least one of partial areas from the plurality of partial areas, based on the determined priority, and a first analysis unit configured to execute the first image analysis process on each of the at least one of partial areas selected.

Abstract: An image processing apparatus inputs a first and a second captured videos; extracts attribute values of image regions of background objects commonly included in the first and the second captured videos respectively; extracts attribute values of image regions of objects respectively included in the first and the second captured videos; derives a relative index of an attribute value of the image region of the object with reference to the attribute value of the image region of the background object with respect to the object included in each of the first and the second captured videos; and detects the same object included in the first and the second captured videos based on the index derived with respect to the object included in each of the first and the second captured videos.

Abstract: An image processing apparatus includes an acquiring unit configured to acquire multiple tracking results about an object tracked in multiple video images captured by multiple imaging units. The tracking results correspond one-to-one to the video images. Each of the tracking results contains a position of the object detected from an image frame of the corresponding video image and a tracking label that identifies the object in the video image. The apparatus further includes a relating unit configured to relate objects, detected from image frames of the video images, based on the tracking results acquired by the acquiring unit to obtain relations and an object label generating unit configured to generate an object label based on the relations obtained by the relating unit. The object label uniquely identifies the object across the video images.

Abstract: An image processing apparatus includes a detection unit configured to detect positions of an index of which an arrangement is sequentially changed from respective images captured by two imaging devices, a calibration unit configured to calibrate a position of at least one of the two imaging devices based on the positions of the index arranged at an identical position detected from the respective images captured by the two imaging devices, a determination unit configured to determine a candidate position where the index is to be newly arranged based on the positions where the index has already been detected, and a presentation unit configured to present the candidate position.

Abstract: A likelihood of each of a plurality of registered images belonging to a same group for an input image is calculated, and a prescribed number of registered images is selected from a top ranking in descending order of likelihood among the plurality of registered images as the authentication result for the input image. Based on a likelihood of a registered image included in an authentication result for an input image of a first frame and a likelihood of a registered image included in an authentication result for an input image of a second frame being previous to the first frame, one of the authentication result for the input image of the first frame and the authentication result for the input image of the second frame is displayed.

Abstract: By a first grouping pattern, a plurality of regions for which a filter operation is to be performed in an operation target image are grouped. Then, for each group obtained by the first grouping pattern, a first filter corresponding to the group is used to perform a filter operation on each region belonging to the group. By a second grouping pattern, a plurality of regions for which a filter operation is to be performed in an intermediate image obtained by the filter operation are grouped. Then, for each group obtained by the second grouping pattern, a second filter corresponding to the group is used to perform a filter operation on each region belonging to the group.

Abstract: A people flow analysis apparatus includes an acquisition unit configured to acquire positions of persons from each of a plurality of images captured by a plurality of image capturing devices, a counting unit configured to integrate the positions of the persons in each of the plurality of images and count the number of persons on a region-by-region basis, and a display unit configured to display on a map an image expression based on the number of persons counted on the region-by-region basis.

Abstract: A first control amount of an image capturing device is estimated based on a region of an object detected from a captured image by the image capturing device. A second control amount of the image capturing device instructed in accordance with a user operation is acquired. A parameter required for the estimating is updated based on a difference between the first control amount and the second control amount.

Abstract: An image processing apparatus comprises a video input unit, a region division unit configured to divide an image acquired by the video input unit into a plurality of regions each including pixels of similar attributes, a feature extraction unit configured to extract a feature from each divided region, a background model storage unit configured to store a background model generated from a feature of a background in advance, and a feature comparison unit configured to compare the extracted feature with a feature in the background model and determine for each of the regions whether the region is the background.

Abstract: An information processing apparatus includes detecting a predetermined object from a captured image, identifying an attribute of the detected object, determining a presentation method of presented information representing the attribute based on a detection state of the detected object, displaying the presented information and the captured image based on the determined presentation method.

Abstract: An image processing apparatus includes an obtaining unit configured to obtain a moving image, a detection unit configured to detect a detection target object from an interest image frame in the moving image, a tracking unit configured to obtain a tracked object in a neighborhood region of a detection position of the detection target object in an image frame preceding the interest image frame in the moving image, and a determination unit configured to determine whether or not the tracked object corresponds to the detection target object by integrating a position where the detection target object is detected by the detection unit and a position where the tracked object is obtained by the tracking unit.

Abstract: An image processing apparatus includes an image feature extraction unit configured to extract an image feature from an input image, a region extraction unit configured to extract a foreground region from the input image based on the image feature, an acquisition unit configured to acquire correction information based on the image feature, a correction unit configured to correct the foreground region using the correction information, an identification feature extraction unit configured to extract a feature for identification from the foreground region corrected by the correction unit, and an identification unit configured to identify an object in the input image based on the feature for the identification.

Abstract: An information processing apparatus acquires an input image including an object, extracts, from the input image, a change region image which is an image of a changing region by using a background image, extracts a plurality of feature images by combining the input image and the change region image and using a convolutional neural network, and detects a position of the object from the plurality of feature images.

Abstract: An image processing apparatus includes: an acquisition unit that acquires movement vectors of a crowd for each area of an image; a generation unit that generates people-flow clusters based on the movement vectors acquired by the acquisition unit; a classification unit that classifies the people-flow clusters generated by the generation unit into normal people-flow clusters and abnormal people-flow clusters; and a display unit that displays, in a visually distinguishable manner, the normal people-flow clusters and the abnormal people-flow clusters as superimposed on the image.

Abstract: An image processing device includes a detection unit configured to detect an object from an image captured by each of a plurality of image capturing devices, a determination unit configured to determine whether the object is detected by two image capturing devices or more in the image capturing devices, a first estimation unit configured to estimate, when the object have been detected by the two image capturing devices or more, a three-dimensional position and information on a height of the object based on a detected position where the object is detected in an image captured for each of the two image capturing devices and positions and orientations of the two image capturing devices, and a second estimation unit configured to estimate, when the object have been detected by a single image capturing device, the three-dimensional position of the object.

Abstract: An image processing apparatus inputs a first and a second captured videos; extracts attribute values of image regions of background objects commonly included in the first and the second captured videos respectively; extracts attribute values of image regions of objects respectively included in the first and the second captured videos; derives a relative index of an attribute value of the image region of the object with reference to the attribute value of the image region of the background object with respect to the object included in each of the first and the second captured videos; and detects the same object included in the first and the second captured videos based on the index derived with respect to the object included in each of the first and the second captured videos.