Systems and methods for structure footprint detection from oblique imagery are disclosed, including a computer system configured to receive geo-referenced oblique images; analyze pixels of the images to: identify pixels representing a structure with walls; determine ground locations for the walls, geographic locations and orientations of pixels representing vertical edges of the walls, and relative lengths of the walls to produce horizontal line segments representing the base of the walls and having a relative length and an orientation, the horizontal line segment(s) determined from horizontal edge(s) extending a length between vertical edges above the bottoms of the vertical edges such that the horizontal edge is above the base of the structure; and assemble the horizontal line segments based on their relative lengths and orientations to form a footprint of the structure.

Systems and methods for structure footprint detection from oblique imagery are disclosed, including a computer system configured to receive geo-referenced oblique images; analyze pixels of the images to: identify pixels representing a structure with walls; determine ground locations for the walls, geographic locations and orientations of pixels representing vertical edges of the walls, and relative lengths of the walls to produce horizontal line segments representing the base of the walls and having a relative length and an orientation, the horizontal line segment(s) determined from horizontal edge(s) extending a length between vertical edges above the bottoms of the vertical edges such that the horizontal edge is above the base of the structure; and assemble the horizontal line segments based on their relative lengths and orientations to form a footprint of the structure.

The application provides a monitoring method, electronic device and storage medium. The method includes determining a target area to be monitored from an acquired image of a monitored scene; determining a target capture posture and a target capture focal length according to the target area; and controlling a Pan Tilt Zoom (PTZ) camera to capture according to the target capture posture and the target capture focal length. The application can monitor any object within the monitored scene using the PTZ camera with a good capture effect.

The application provides a monitoring method, electronic device and storage medium. The method includes determining a target area to be monitored from an acquired image of a monitored scene; determining a target capture posture and a target capture focal length according to the target area; and controlling a Pan Tilt Zoom (PTZ) camera to capture according to the target capture posture and the target capture focal length. The application can monitor any object within the monitored scene using the PTZ camera with a good capture effect.

An image processing device includes a reception interface and a processor. The reception interface is configured to receive image data corresponding to an image in which a subject is captured. The processor is configured to perform, with respect to the image data, processing that a skeleton model in which a plurality of feature points corresponding to four limbs are connected to a center feature point corresponding to a center of a human body is applied to the subject.

An image processing device includes a reception interface and a processor. The reception interface is configured to receive image data corresponding to an image in which a subject is captured. The processor is configured to perform, with respect to the image data, processing that a skeleton model in which a plurality of feature points corresponding to four limbs are connected to a center feature point corresponding to a center of a human body is applied to the subject.

Methods and systems for imaging and analysis are described. Accurate pressure ulcer measurement is critical in assessing the effectiveness of treatment. However, the traditional measuring process is subjective. Each health care provider may measure the same wound differently, especially related to the depth of the wound. Even the same health care provider may obtain inconsistent measurements when measuring the same wound at different times. Also, the measuring process requires frequent contact with the wound, which increases risk of contamination or infection and can be uncomfortable for the patient. The present application describes a new automatic pressure ulcer monitoring system (PrUMS), which uses a tablet connected to a 3D scanner, to provide an objective, consistent, non-contact measurement method. The present disclosure combines color segmentation on 2D images and 3D surface gradients to automatically segment the wound region for advanced wound measurements.

Methods and systems for imaging and analysis are described. Accurate pressure ulcer measurement is critical in assessing the effectiveness of treatment. However, the traditional measuring process is subjective. Each health care provider may measure the same wound differently, especially related to the depth of the wound. Even the same health care provider may obtain inconsistent measurements when measuring the same wound at different times. Also, the measuring process requires frequent contact with the wound, which increases risk of contamination or infection and can be uncomfortable for the patient. The present application describes a new automatic pressure ulcer monitoring system (PrUMS), which uses a tablet connected to a 3D scanner, to provide an objective, consistent, non-contact measurement method. The present disclosure combines color segmentation on 2D images and 3D surface gradients to automatically segment the wound region for advanced wound measurements.

A method of performing a command of a user on a target object by using a tag and a visual descriptor of the target object obtained through human computer interaction (HCl) is provided. The method includes obtaining a plurality of images including a target object, detecting a motion of the user manipulating the target object, based on the plurality of images, obtaining a visual descriptor of the target object including visual information for identifying the target object, obtaining a tag of the target object by receiving information related to the target object, by marking the target object, and in response to receiving an input signal corresponding to the tag, performing an operation corresponding to the input signal on the target object, based on the visual descriptor.

A method of performing a command of a user on a target object by using a tag and a visual descriptor of the target object obtained through human computer interaction (HCl) is provided. The method includes obtaining a plurality of images including a target object, detecting a motion of the user manipulating the target object, based on the plurality of images, obtaining a visual descriptor of the target object including visual information for identifying the target object, obtaining a tag of the target object by receiving information related to the target object, by marking the target object, and in response to receiving an input signal corresponding to the tag, performing an operation corresponding to the input signal on the target object, based on the visual descriptor.