[Problem] To provide a motion condition estimation device, a motion condition estimation method and a motion condition estimation program capable of accurately estimating the motion condition of monitored subjects even in a crowded environment. [Solution] A motion condition estimation device according to the present invention is provided with a quantity estimating means 81 and a motion condition estimating means 82. The quantity estimating means 81 uses a plurality of chronologically consecutive images to estimate a quantity of monitored subjects for each local region in each image. The motion condition estimating means 82 estimates the motion condition of the monitored subjects from chronological changes in the quantities estimated in each local region.

A device includes a memory configured to store instructions and a processor configured to execute the instructions to obtain image data of a region of interest included in an image frame. The processor may also be configured to compare the image data of the region of interest with image data of a background to detect a change in the region of interest. The processor may further be configured to detect the object in image frame based on the detected change.

A display apparatus includes an image acquisition unit, an image extraction unit, a registration unit, a display control unit, a coordinate generation unit, and a motion detection unit. The coordinate generation unit generates, based on a detection result of a detection unit configured to detect the position of an object in a three-dimensional space, coordinates of the object in a screen. The motion detection unit detects a motion of the object based the coordinates in the screen generated by the coordinate generation unit. The display control unit displays a first image on the screen. When the motion is detected by the motion detection unit, the display control unit further displays a second image on the screen based on coordinates corresponding to the detected motion, and changes the display of the first image.

A display apparatus includes an image acquisition unit, an image extraction unit, a registration unit, a display control unit, a coordinate generation unit, and a motion detection unit. The coordinate generation unit generates, based on a detection result of a detection unit configured to detect the position of an object in a three-dimensional space, coordinates of the object in a screen. The motion detection unit detects a motion of the object based the coordinates in the screen generated by the coordinate generation unit. The display control unit displays a first image on the screen. When the motion is detected by the motion detection unit, the display control unit further displays a second image on the screen based on coordinates corresponding to the detected motion, and changes the display of the first image.

The invention relates to a device (1) and a method for determining the action of active ingredients on nematodes and other organisms in aqueous tests. The device (1) according to the invention comprises a holder (13) for a cell culture plate (30) having multiple wells (31) in which the nematodes can be filled with the active ingredients, said cell culture plate (30) having a bottom side (33), a top side (32) and also side walls extending between bottom side (33) and top side (32), a camera (11) which is used to record images of preferably the bottom side (33) of the cell culture plate (30), a lighting mechanism (14) having at least a first light source (15) which illuminates the cell culture plate (30), there being arranged between the first light source (15) and a first side wall (34) of the cell culture plate (30) in the installed state a first optical unit which directs the light of the first light source (15) through the first side wall (34) in the direction of the bottom side (33) of the cell culture plate (30). The method according to the invention makes it possible to simultaneously investigate many active ingredients within a very short time.

Optical flow refers to the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene. Optical flow algorithms can be used to detect and delineate independently moving objects, even in the presence of camera motion. The present invention uses optical-flow algorithms to detect and remove marine snow particles from live video. Portions of an image scene which are identified as marine snow are reconstructed in a manner intended to reveal underwater scenery which had been occluded by the marine snow. Pixel locations within the regions of marine snow are replaced with new pixel values that are determined based on either historical data for each pixel or a mathematical operation, such as one which uses data from neighboring pixels.

Optical flow refers to the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene. Optical flow algorithms can be used to detect and delineate independently moving objects, even in the presence of camera motion. The present invention uses optical-flow algorithms to detect and remove marine snow particles from live video. Portions of an image scene which are identified as marine snow are reconstructed in a manner intended to reveal underwater scenery which had been occluded by the marine snow. Pixel locations within the regions of marine snow are replaced with new pixel values that are determined based on either historical data for each pixel or a mathematical operation, such as one which uses data from neighboring pixels.

A moving object detection device includes: an image capturing unit with which a vehicle is equipped, and which is configured to obtain a captured image by capturing a view in a travel direction of the vehicle; a calculation unit configured to calculate, for each of first regions which are unit regions of the captured image, a first motion vector indicating movement of an image in the first region; an estimation unit configured to estimate, for each of one or more second regions which are unit regions each including first regions, a second motion vector using first motion vectors, the second motion vector indicating movement of a stationary object which has occurred in the captured image due to the vehicle traveling; and a detection unit configured to detect a moving object present in the travel direction, based on a difference between a first motion vector and a second motion vector.

Provided is an image processing device including a matching unit that performs matching processing between a predetermined pattern on a surface of a 3D model of a biological tissue including an operating site generated on the basis of a preoperative diagnosis image and a predetermined pattern on a surface of the biological tissue included in a captured image during surgery, a shift amount estimation unit that estimates an amount of deformation from a preoperative state of the biological tissue on the basis of a result of the matching processing and information regarding a three-dimensional position of a photographing region which is a region photographed during surgery on the surface of the biological tissue, and a 3D model update unit that updates the 3D model generated before surgery on the basis of the estimated amount of deformation of the biological tissue.

Systems and methods are provided for automatically imaging and analyzing cell samples in an incubator. An actuated microscope operates to generate images of samples within wells of a sample container across days, weeks, or months. A plurality of images is generated for each scan of a particular well, and the images within such a scan are used to image and analysis metabolically active cells in the well. Tins analysis includes generating a “range image” by subtracting the minimum intensity value, across the scan, for each pixel from the maximum intensity value. This range image thus emphasizes cells or portions of cells that exhibit changes in activity over a scan period (e.g., neurons, myocytes, cardiomyocytes) while de-emphasizing regions that exhibit consistently high intensities when images (e.g., regions exhibiting a great deal of autofluorescence unrelated to cell activity).