Abstract: An imaging method includes determining a target position in an imaging frame of an image capturing mechanism connected with a positioning mechanism, outputting a capturing instruction to control the image capturing mechanism to capture a scene including a human face after the target position is determined, detecting the human face from the captured scene, and outputting a control instruction to position the detected human face at the target position by moving the positioning mechanism to move the image capturing mechanism.

Abstract: A photographing control method includes obtaining a plurality sets of shooting information including shooting location information and shooing angle information for a target object, and determining location estimation information for the target object based on at least two sets of shooting information selected from the plurality sets of shooting information. The shooting location information in the at least two sets of shooting information corresponds to different locations. The method further includes generating a shooting adjustment instruction based on the location estimation information, and adjusting a shooting angle of a photographing device according to the shooting adjustment instruction to place a location corresponding to the location estimation information within a viewing angle of the photographing device.

Abstract: A method of controlling a movable object to track a target includes determining a difference between a desired height and a measured height of the movable object, determining a reference speed of the movable object or the target, and adjusting the movable object based on the reference speed and the difference between the desired height and the measured height.

Abstract: An imagery method includes obtaining a plurality of images of an object captured using one or more imaging devices within a period of time while the object is being tracked, performing motion and/or state estimation of the object for the period of time, and selecting one or more images related to a moment from the plurality of images based on the motion and/or state estimation of the object.

Abstract: A control method includes determining a relative relationship between a tracked object and a tracking device. The control method also includes acquiring motion information of the tracked object. The control method further includes based on the motion information and the relative relationship, controlling movement of a carrying device that carries the tracking device to enable the tracking device to track the tracked object.

Abstract: A control method includes determining a movement direction of a movable platform, and controlling, according to the movement direction of the movable platform, an orientation of the movable platform to cause a detection device carried by the movable platform to approximately align with the movement direction.

Abstract: A computer-implemented method for controlling an unmanned aerial vehicle (UAV) includes detecting a target marker based on a plurality of images captured by an imaging device carried by the UAV, determining a spatial relationship between the UAV and the target marker based at least in part on the plurality of images, and controlling the UAV to approach the target marker based at least in part on the spatial relationship while controlling the imaging device to track the target marker such that the target marker remains within a field of view of the imaging device.

Abstract: A method for locating a moving object includes obtaining an approximate displacement of the moving object between a first time point and a second time point based on location measurements of the moving object at the first time point and the second time point, processing inertial measurements of the moving object at a plurality of interval time points between the first time point and the second time point to acquire movement characteristics of the moving object between the first time point and the second time point, and determining an estimated displacement of the moving object at one of the interval time points between the first time point and the second time point based on the acquired movement characteristics of the moving object and the approximate displacement of the moving object between the first time point and the second time point.

Abstract: A method of tracking a movement of a target by an unmanned aerial vehicle (UAV) includes determining a distance between the target and the UAV, acquiring image data of the target by a camera of the UAV, determining two-dimensional pixel coordinate data associated with a plurality of features of the target from the image data, determining a physical dimension based on the two-dimensional pixel coordinate data and the distance, and determining three-dimensional location coordinate data of the target with respect to the UAV based on the physical dimension and at least one of the two-dimensional pixel coordinate data or the distance.

Abstract: A method for acquiring a target for a movable object includes providing a solicitation signal in response to receiving an initialization signal, detecting an action by one or more potential candidates in response to the solicitation signal, and identifying a target from the one or more potential candidates based on the detected action.

Abstract: An image processing method includes obtaining an image frame through an imaging device over a period of time. The image frame includes a plurality of groups of pixels that are exposed to light at different time points within the period of time. The method further includes obtaining attitude information of the imaging device during the period of time, deriving positional state of an individual group of pixels in the plurality of groups of pixels based on the attitude information of the imaging device, and processing the image frame using the positional state.

Abstract: A method for controlling a movable object to track a target object includes determining a change in one or more features between a first image frame and a second image frame, and adjusting a movement of the movable object based on the change in the one or more features between the first image frame and the second image frame. The one or more features are associated with the target object, and the first image frame and the second image frame are captured at different points in time using an imaging device on the movable object.

Abstract: A method for controlling a movable object includes obtaining an expected height of the movable object, obtaining a measured height of the movable object relative to a ground, and controlling a height of the movable object according to the expected height and the measured height.

Abstract: A system for controlling an unmanned aerial vehicle (UAV) includes a processor and a storage medium storing instructions that, when executed by the processor, cause the processor to receive image data from a camera coupled to the UAV that is associated with a first view of the camera, send the image data in real time to a client device, and receive control data from the client device. The control data is associated one or more reference coordinates corresponding to a gesture-based input indicating a change from the first view to a second view of the camera. The gesture-based input is associated with at least one region of the image data. The instructions further cause the processor to control the UAV to change at least one of a position or an attitude of the UAV based on the control data.

Abstract: A method for tracking control of an unmanned aerial vehicle (UAV) includes obtaining flight data of the UAV, determining, within a preset period of time and according to the flight data, a number of switching times of the UAV switching between different flight directions, determining whether the UAV is vibrating according to the number of switching times, and determining whether to continue tracking a target according to whether the UAV is vibrating.

Abstract: A method includes obtaining an image frame captured by an imaging device carried by an unmanned vehicle and containing the target object, extracting one or more features of a target object from a region selected by a user on the image frame, and determining whether the target object is a predetermined recognizable object type based on a comparison of the one or more features with one or more characteristics associated with the predetermined recognizable object type. If the target object is the predetermined recognizable object type, tracking functions associated with the predetermined recognizable object type are initiated. IF the target object does not belong to the predetermined recognizable object type, tracking functions associated with a general object type are initiated.

Abstract: A method for controlling a movable object includes receiving a user input indicative of a command to adjust a perception of a target while tracking the target, determining a subsequent perception of the target based on the user input, and generating one or more control signals to move the movable object based on the subsequent perception of the target.

Abstract: A set of phosphorylated peptides are presented by HLA A*0101, A*0201, A*0301, B*4402, B*2705, B*1402, and B*0702 on the surface of melanoma cells. They have the potential to (a) stimulate an immune response to the cancer, (b) to function as immunotherapeutics in adoptive T-cell therapy or as a vaccine, (c) to facilitate antibody recognition of the tumor boundaries in surgical pathology samples, and (d) act as biomarkers for early detection of the disease. Phosphorylated peptides are also presented for other cancers.

Abstract: The present application provides compositions and methods useful for detecting and monitoring autoimmune diseases in a human subject. The methods comprise providing a moesin fragment for binding to an anti-moesin autoantibody and contacting the moesin fragment with a sample obtained from the human subject. The moesin fragment comprises the entire N-terminal FERM domain of a human moesin protein. The human subject has or is suspected of having an autoimmune disease such as connective tissue disease, systemic sclerosis, Sjogren's syndrome, or systemic lupus erythematosus.

Abstract: A nozzle tip assembly and method characterized by the use of a retention device including at least one tab that cooperates with a ledge for coupling a nozzle shroud to a nozzle adaptor. The retention device can be used as a secondary retention feature to prevent nozzle separation and/or to enable the fuel injector to be repaired without having to replace the entire assembly. The latter advantage is of particular benefit when there is damage during assembly or when the nozzle tip assembly is being overhauled.