Abstract: A non-transitory computer-readable recording medium stores a counting program for causing a computer to execute a process including: obtaining a captured image that includes a plurality of objects; identifying a shape of an object included in a specific region of the captured image; and counting a number of the plurality of objects included in the captured image based on the identified shape.

Abstract: A non-transitory computer-readable recording medium stores a detection program for causing a computer to execute processing including, detecting a person included in a plurality of first captured images captured by a camera, determining a threshold value on the basis of a size in a height direction in the plurality of first captured images of the detected person, and detecting a target from the first captured image captured by the camera on the basis of the threshold value.

Abstract: A method performed by a computer for image analyzation includes: receiving, by a processor of the computer, an image captured by an imaging device; specifying, by the processor of the computer, first and second areas in the image; detecting, by the processor of the computer, a target object from the image in accordance with a certain pattern indicating a range of color saturation in an analysis of a color of the target object; and extending, by the processor of the computer, the range of color saturation in processing of the detecting the target object, when luminance of the first area in the image is lower than a first threshold and luminance of the second area in the image is equal to or higher than a second threshold.

Abstract: A method performed by a computer, the method includes obtaining a plurality of images each of which includes a plurality of animals, the plurality of animals being attached with a plurality of attachment objects respectively, the attachment objects having respective different colors, using at least one image among the plurality of images, detecting the colors of the plurality of attachment objects respectively, using the plurality of images, detecting movements of the plurality of respective attachment objects, based on the colors of the plurality of attachment objects, and in accordance with the respective movements of the plurality of attachment objects, determining respective activity quantities of the plurality of animals.

Abstract: A method performed by a computer, the method includes obtaining a plurality of images each of which includes a plurality of animals, the plurality of animals being attached with a plurality of attachment objects respectively, the attachment objects having respective different colors, using at least one image among the plurality of images, detecting the colors of the plurality of attachment objects respectively, using the plurality of images, detecting movements of the plurality of respective attachment objects, based on the colors of the plurality of attachment objects, and in accordance with the respective movements of the plurality of attachment objects, determining respective activity quantities of the plurality of animals.

Abstract: A method performed by a computer for image analyzation includes: receiving, by a processor of the computer, an image captured by an imaging device; specifying, by the processor of the computer, first and second areas in the image; detecting, by the processor of the computer, a target object from the image in accordance with a certain pattern indicating a range of color saturation in an analysis of a color of the target object; and extending, by the processor of the computer, the range of color saturation in processing of the detecting the target object, when luminance of the first area in the image is lower than a first threshold and luminance of the second area in the image is equal to or higher than a second threshold.

Abstract: An image processing apparatus includes a processor that executes a process. The process includes converting an input image into multiple types of images based on values of pixels in the input image, and selecting at least one image from the multiple types of images based on luminance information of the multiple types of images.