Provided are an image analysis method, an image analysis device, a program, and a recording medium capable of more easily eliminating an influence of an illuminance distribution in a case where an object is imaged.

The embodiment of the present invention acquires first image data obtained by imaging an object, which develops color according to an amount of external energy in a case where the external energy is applied, with a first sensitivity, acquires second image data obtained by imaging the object with a second sensitivity different from the first sensitivity, calculates a ratio of an image signal value indicated by the first image data with respect to an image signal value indicated by the second image data, and estimates the amount of the external energy applied to the object, based on a correspondence relationship between the amount of the external energy and the ratio, and a calculation result of the ratio in a calculation step.

Provided are an image analysis method, an image analysis device, a program, and a recording medium capable of more easily eliminating an influence of an illuminance distribution in a case where an object is imaged.

The embodiment of the present invention acquires first image data obtained by imaging an object, which develops color according to an amount of external energy in a case where the external energy is applied, with a first sensitivity, acquires second image data obtained by imaging the object with a second sensitivity different from the first sensitivity, calculates a ratio of an image signal value indicated by the first image data with respect to an image signal value indicated by the second image data, and estimates the amount of the external energy applied to the object, based on a correspondence relationship between the amount of the external energy and the ratio, and a calculation result of the ratio in a calculation step.

A display device includes first and second unit pixels adjacent to each other in a first direction. Each of the first and second unit pixels includes a first group disposed in a first row and a second group disposed in a second row spaced apart from the first row. The first group includes a first light emitting area emitting a first light, and a second light emitting area emitting a second light. The second group includes a light receiving area and third and fourth light emitting areas spaced apart from each other with the light receiving area interposed therebetween and emitting the third light. The fourth light emitting area of the first unit pixel and the third light emitting area of the second unit pixel are spaced apart from each other by a distance from about 25 micrometers to about 100 micrometers in the first direction.

An image processing apparatus according to a first aspect of the present invention acquires a first image and a second image in a first image acquisition mode, or a second image acquisition mode in which a second image acquisition ratio is higher than in the first image acquisition mode, on the basis of a detection result of a specific target (whether or not a specific target has been detected, what type of specific target). For example, in accordance with whether or not a specific target has been detected and the type of specific target, the first image and the second image can be acquired in the first image acquisition mode in a case where the necessity for acquiring the second image is low, whereas the first image and the second image can be acquired in the second image acquisition mode, in which the second image acquisition ratio is high, in a case where the necessity for acquiring the second image is high.

One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

A unified imaging device used for detecting and classifying objects in a scene including motion and micro-vibrations by receiving a plurality of images of the scene captured by an imaging sensor of the unified imaging device comprising a light source adapted to project on the scene a predefined structured light pattern constructed of a plurality of diffused light elements, classifying object(s) present in the scene by visually analyzing the image(s), extracting depth data of the object(s) by analyzing position of diffused light element(s) reflected from the object(s), identifying micro-vibration(s) of the object(s) by analyzing a change in a speckle pattern of the reflected diffused light element(s) in at least some consecutive images and outputting the classification, the depth data and data of the one or more micro-vibrations which are derived from the analyses of images captured by the imaging sensor and are hence inherently registered in a common coordinate system.

A unified imaging device used for detecting and classifying objects in a scene including motion and micro-vibrations by receiving a plurality of images of the scene captured by an imaging sensor of the unified imaging device comprising a light source adapted to project on the scene a predefined structured light pattern constructed of a plurality of diffused light elements, classifying object(s) present in the scene by visually analyzing the image(s), extracting depth data of the object(s) by analyzing position of diffused light element(s) reflected from the object(s), identifying micro-vibration(s) of the object(s) by analyzing a change in a speckle pattern of the reflected diffused light element(s) in at least some consecutive images and outputting the classification, the depth data and data of the one or more micro-vibrations which are derived from the analyses of images captured by the imaging sensor and are hence inherently registered in a common coordinate system.

A system for determining occupancy in an environment is provided. The system includes plurality of sensor bundles, with each bundle including a presence sensor and a motion sensor. The system further includes a controller in communication with each sensor bundle. The controller is configured to designate one of the sensor bundles as presence triggered if persons are present within a field of view of the presence sensor. The controller is further configured to designate one of the sensor bundles as motion triggered if persons are moving within a field of view of the motion sensor. The controller is further configured to determine a triggered bundle count of the sensor bundles which are both presence triggered and motion triggered. The controller is further configured to determine an occupancy count for the environment based upon the triggered bundle count.

An information processing method includes a detection step including detecting a target based on a distance image of a monitoring region; and a stay decision step including making a stay decision. The stay decision includes determining whether any stay of the target has occurred. The stay decision step includes making the decision based on an index indicating a positional change of the target with the passage of time.