Panasonic Corporation

Matsushita Electric Industrial Co., Ltd.

Panasonic Intellectual Property Management Co., Ltd.

Kurimoto, Ltd.

Masahiro Iwasaki

Kunio Nobori

Ayako Komoto

Taro Imagawa

Roberto Cipolla

Neil Dodgson

Arasanathan Thayananthan

Lorcan MacManus

Toshiki Kindo

Takeo Azuma

Kenji Kondo

Katsuhiro Kanamori

Yumiko Kato

Mikiya Nakata

Yoshihide Sawada

Kenji Nagao

Masahiro Wakamori

Yasuhiro Mukaigawa

Hiroyuki Kubo

Etsuko Nagao, Legal Representative

Fabio Galasso

Yasuo Akedo

Lorcan Mac Manus

An image generating system that generates a focal image of a target object on a virtual focal plane located between a plurality of illuminators and an image sensor (b) carries out the following (c) through (f) for each of a plurality of pixels constituting the focal image, (c) carries out the following (d) through (f) for each of the positions of the plurality of illuminators, (d) calculates a position of a target point that is a point of intersection of a straight line connecting a position of the pixel on the focal plane and a position of the illuminator and a light receiving surface of the image sensor, (e) calculates a luminance value of the target point in the captured image by the illuminator on the basis of the position of the target point, (f) applies the luminance value of the target point to the luminance value of the pixel, and (g) generates the focal image of the target object on the focal plane by using a result of applying the luminance value at each of the plurality of pixels.

Image generating system, image generating method, and image generating apparatus

Provided is an image generation device generating a high-quality image of an object under a pseudo light source at any desired position, based on geometric parameters generated from a low-quality image of the object. The image generation device includes: a geometric parameter calculation unit that calculates a first geometric parameter regarding a shape of a surface from light source position, viewpoint position, and geometric normal information regarding the shape; a high-resolution database unit that stores an exemplum indicating a mesostructure of a portion of the surface and has a spatial resolution higher than the geometric normal information; an exemplum expansion unit that increases the exempla to be spatially expanded; a geometric parameter modification unit that modifies the first geometric parameter using the increased exempla; and an image generation unit that generates an output image by applying the modified geometric parameter to a reflection model.

Image generation device and image generation method

A trajectory estimation apparatus includes: an image acceptance unit which accepts images that are temporally sequential and included in the video; a hierarchical subregion generating unit which generates subregions at hierarchical levels by performing hierarchical segmentation on each of the images accepted by the image acceptance unit such that, among subregions belonging to hierarchical levels different from each other, a spatially larger subregion includes spatially smaller subregions; and a representative trajectory estimation unit which estimates, as a representative trajectory, a trajectory, in the video, of a subregion included in a certain image, by searching for a subregion that is most similar to the subregion included in the certain image, across hierarchical levels in an image different from the certain image.

Method and apparatus for trajectory estimation, and method for segmentation

An articulation region display apparatus includes: an articulatedness calculating unit calculating an articulatedness, based on a temporal change in a point-to-point distance and a temporal change in a geodetic distance between given trajectories; an articulation detecting unit detecting, as an articulation region, a region corresponding to a first trajectory based on the articulatedness between the trajectories, the first trajectory being in a state where the regions corresponding to the first trajectory and a second trajectory are present on the same rigid body, the regions corresponding to the first trajectory and third trajectory are present on the same rigid body, and the region corresponding to the second trajectory is connected with the region corresponding to the third trajectory via the same joint; and a display control unit transforming the articulation region into a form visually recognized by a user, and output the transformed articulation region.

Articulation region display apparatus, articulation region detecting apparatus, articulation region belongingness calculating apparatus, articulated object region belongingness calculating apparatus, and articulation region display method

A moving object detection apparatus includes: a trajectory calculating unit which calculates a plurality of trajectories for each image subset; a subclass classification unit which classifies the trajectories into subclasses for each of the image subsets, an inter-subclass similarity calculating unit which calculates a trajectory share ratio which indicates the degree of sharing of the same trajectory between arbitrary two of the subclasses and calculates the similarity between the subclasses based on the share ratio; a moving object detection unit which detects the moving object in video by classifying the subclasses into classes such that the subclasses between which a higher similarity is present are more likely to be classified into the same class.

Moving object detection apparatus and moving object detection method

A moving object detection apparatus includes: a stationary measure calculation unit calculating, for each of trajectories, a stationary measure representing likelihood that the trajectory belongs to a stationary object; a distance calculation unit calculating a distance representing similarity between trajectories; and a region detection unit (i) performing a transformation based on the stationary measures and the distances between the trajectories, so that a ratio of a distance between a trajectory on stationary object and a trajectory on moving object, to a distance between trajectories both belonging to stationary object becomes greater than a ratio obtained before the transformation and (ii) detecting the moving object region by separating the trajectory on the moving object from the trajectory on the stationary object, based on a geodesic distance between the trajectories.

A moving object detection apparatus includes: an image input unit which receives a plurality of pictures included in video; a trajectory calculating unit which calculates a plurality of trajectories from the pictures; a subclass classification unit which classifies the trajectories into a plurality of subclasses; an inter-subclass approximate geodetic distance calculating unit which calculates, for each of the subclasses, an inter-subclass approximate geodetic distance representing similarity between the subclass and another subclass, using an inter-subclass distance that is a distance including a minimum value of a linear distance between each of trajectories belonging to the subclass and one of trajectories belonging to the other subclass; and a segmentation unit which performs segmentation by determining, based on the calculated inter-subclass approximate geodetic distance, a set of subclasses including similar trajectories as one class.

An image processing apparatus robustly performs segmentation on an image including an object such as a moving person with its deformation. The image processing apparatus includes: an image inputting unit which receives temporally successive images; a motion analyzing unit which calculates motions of blocks using at least two temporally different images and calculates, based on the motions of the blocks, temporal motion trajectories of the blocks in the temporally successive images; a distance calculating unit which calculates a distance indicating a similarity of the motions of the blocks, using a temporal motion trajectory of a block i and a temporal motion trajectory of a block other than the block i calculated by the motion analyzing unit; and a nonlinear space processing unit which projects the distance calculated by the distance calculating unit into a nonlinear space and performs the segmentation on a result of the projection in the nonlinear space.

Image processing method and image processing apparatus

An articulated object region detection apparatus includes: a subclass classification unit which classifies trajectories into subclasses; a distance calculating unit which calculates, for each of the subclasses, a point-to-point distance and a geodetic distance between the subclass and another subclass; and a region detection unit which detects, as a region having an articulated motion, two subclasses to which trajectories corresponding to two regions connected via the same articulation and indicating the articulated motion belong, based on a temporal change in the point-to-point distance and a temporal change in the geodetic distance between two given subclasses.

Articulated object region detection apparatus and method of the same

A moving object detection method includes: extracting NL long-term trajectories (NL&#x2267;2) over TL pictures (TL&#x2267;3) and NS short-term trajectories (NS&#x3e;NL) over TS pictures (TL&#x3e;TS&#x2267;2), using movement trajectories; calculating a geodetic distance between the NL long-term trajectories and a geodetic distance between the NS short-term trajectories (S); calculating an approximate geodetic distance that is a geodetic distance between the NS movement trajectories over the TL pictures, based on the calculated geodetic distance between the long-term trajectories and geodetic distance between the short-term trajectories (S); and performing segmentation based on the calculated approximate geodetic distance (S).

Moving object detection method and moving object detection apparatus

Provided is an image generation device generating a high-quality image of an object under a pseudo light source at any desired position, based on geometric parameters generated from a low-quality image of the object. The image generation device includes: a geometric parameter calculation unit () that calculates a first geometric parameter regarding a surface structure from light source position, viewpoint position, and geometric normal information regarding the surface structure; a high-resolution database unit () that stores an exemplum indicating a mesostructure of a portion of the surface and has a spatial resolution higher than the geometric normal information; an exemplum expansion unit () that increases the exempla to be spatially expanded; a geometric parameter modification unit () that modifies the first geometric parameter using the increased exempla; and an image generation unit () that generates an output image by applying the modified geometric parameter to a reflection model.

Image generation device and image generation method for generating a high-quality image by using information from a low-quality image

A moving object detection method is provided which can accurately perform segmentation on an image including an object such as a person that moves changing shape. The method includes: accepting pictures included in the video (S); calculating movement trajectories by detecting motions between two temporally adjoining pictures in units of blocks constituting each of the pictures and each including one or more pixels, and concatenating detected motions for all the pictures (Sand S); calculating distances each indicating similarity between the calculated movement trajectories (S); and performing segmentation by performing geodetic distance transformation by combining distances smaller than a predetermined threshold from among the calculated distances, detecting a discontinuity point in a distribution of the calculated geodetic distances, and classifying, into one cluster, movement trajectories separate from each other at a geodetic distance smaller than a length indicating the detected discontinuity point (Sand).

To provide a moving object detection apparatus which accurately performs region extraction, regardless of the pose or size of a moving object. The moving object detection apparatus includes: an image receiving unit receiving the video sequence; a motion analysis unit calculating movement trajectories based on motions of the image; a segmentation unit performing segmentation so as to divide the movement trajectories into subsets, and setting a part of the movement trajectories as common points shared by the subsets; a distance calculation unit calculating a distance representing a similarity between a pair of movement trajectories, for each of the subsets; a geodesic distance calculation unit transforming the calculated distance into a geodesic distance; an approximate geodesic distance calculation unit calculating an approximate geodesic distance bridging over the subsets, by integrating geodesic distances including the common points; and a region extraction unit performing clustering on the calculated approximate geodesic distance.

A moving object detection method with which a region of a moving object is accurately extracted without being affected by a change in shape or size or occlusion of the moving object and in which a distance indicating a similarity between trajectories of an image in each of the blocks included in video is calculated (S) and a group of similar trajectories is identified as one region based on the distance (S). Step Sincludes, for each of the thresholds, (1) non-linearization of the distance, (2) calculating a geodetic distance between plural trajectories from the distance after non-linearization (S), (3) specifying, as region candidates, a group of trajectories which are distant from each other by the geodetic distance of a finite value, from among the trajectories (S), calculating an interregional geodetic distance that is a scale indicating the similarity between the region candidates (S), and selecting, from the region candidates, a region candidate having the interregional geodetic distance that satisfies a predetermined condition, as a result of segmentation (S).

A monitoring device includes: a moving object image generation unit which receives, on a frame-by-frame basis, an overall image captured by a camera and performs inter-frame differential processing on the overall image or background differential processing between the overall image and a background image that is previously prepared; a density calculation unit which transforms the differential processed image into one-dimensional information and calculates a density indicating a degree of density of moving objects or of a crowd through frequency analysis; a model generation unit which calculates a reference density of the moving objects or of the crowd based on the density of a predetermined date and time; and a situation determination unit which compares between the density at the current time and the reference density, determines whether or not the density at the current time is different from the reference density, and generates a determination result.

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Kyoto, Japan

Masahiro Iwasaki