Disclosed are an automatic surround photographing method and system for a target. The method includes: obtaining an angle parameter of a yaw-axis gimbal, and processing an image obtained by a camera to obtain a distance parameter; obtaining, by means of calculation, a control parameter of a rotation angle of a steering gear according to the angle parameter of the yaw-axis gimbal and the distance parameter; and controlling, according to the angle parameter of the yaw-axis gimbal, the rotation of a gimbal of a gimbal camera so as to control the rotation of the camera, and controlling, according to the control parameter of the rotation angle of the steering gear, a rotation angle of the steering gear in a photographing-moving apparatus for placement of the gimbal camera, such that the photographing-moving apparatus surrounds and tracks a target, and performs surround photographing of the target.

A hybrid system which detects and tracks objects in three-dimensional space using a light source disposed in spaced relation to a projection surface, defining a volume of space illuminated by said light source. A light sensor responsive to illumination falling on the projection surface measures illumination levels over a predefined image plane associated with the light sensor, producing a projected image signal. A structured light source projects a structured light within the volume of space and a structured light sensor records reflected structured light from objects occupying the volume of space producing a structured light signal. A correlation processor receptive of the projected image signal and said structured light signal and adapted to compute a hybrid signal indicative of the position of an object within said space and from which other information about the object may be extracted.

A monitoring area is scanned by an area sensor device (e.g., an optical distance meter) detects objects. Moving objects are identified among the detected objects, and, among the identified moving objects, a moving object which is present in the monitoring area and which has been newest identified is set as a tracking target. The moving object which has been set at the tracking target is automatically tracked by a camera device. As a result, even if there are present a plurality of moving objects in the monitoring area, tracking targets can be switched from one to another, so that it is possible to designate, as a tracking target, a moving object desired by an observer.

A method of identifying and classifying social complex behaviors among a group of model organisms, comprising implanting at least one RFID transponder in each model organism in said group of model organisms; enclosing said group of model organisms in a monitored space divided into RFID monitored segments; RFID tracking a position of each model organism by reading said at least one RFID transponder in each model organism over a period of time; capturing a sequence of images of each model organism over said period of time; and calculating at least one spatiotemporal model of each model organism based on time synchronization of said RFID tracked position of said model organism with said sequence of images.

A celestial object is automatically tracked and photographed. Azimuth information of the celestial object is obtained relative to a photographic apparatus. First-tracking drive control data for performing a first-tracking photographing operation is calculated based on the azimuth information. The photographing operation is performed during a predetermined exposure time based on the first-tracking drive control data. After the photographing operation finishes, a first image taken in the photographing operation is obtained upon lapse of a predetermined time, and a second image corresponding to an ending of images taken by the photographing operation is obtained. An amount of deviation between a celestial object image in the first image and a corresponding celestial object image in the second image is calculated. A judgement is made as to whether a second-tracking photographing operation is to be performed based on a comparison between the deviation amount and a predetermined threshold.

An object-tracking system is disclosed. The tracking system is designed for environments where global positioning system (GPS), radio frequency (RF), and/or cellular communication signals are unavailable. The system is configured to use camera-captured images of the surrounding environment in conjunction with inertial measurements to perform visual and/or traditional odometry. An object detection algorithm and/or tracking scheme may be used to detect objects within the captured images, to help determine a user position relative to the objects. The detector architecture may be configured to allow for target (and/or object) agnostic camera detection and/or tracking that is easily configurable and/or reconfigurable depending on for the type of object to be detected and/or tracked.

The embodiment is a target tracking method. The method is applicable to a UAV including a visible light camera and an infrared camera, and includes: controlling the visible light camera to perform visual tracking on a target object, and recording first tracking information of the target object in real time; controlling the infrared camera to perform infrared tracking on the target object, and recording second tracking information of the target object in real time; controlling, in a case of determining that the target object is lost in the visible light camera, the visible light camera to re-lock the target object according to the second tracking information and continue to perform visual tracking; or controlling, in a case of determining that the target object is lost in the infrared camera, the infrared camera to re-lock the target object according to the first tracking information and continue to perform infrared tracking.

An imaging apparatus and an imaging method that further facilitate recording of a video within an extraction range while moving the extraction range within an angle of view are provided.

An imaging apparatus according to an aspect of the present invention includes an image sensor that captures a reference video which is a motion picture, a housing that accommodates the image sensor, a detection portion for detecting a motion of the housing, and a processor. The processor is configured to execute setting processing of setting an extraction range smaller than an angle of view within the angle of view in a case of capturing the reference video, extraction processing of extracting an extraction video within the extraction range from the reference video, movement processing of moving the extraction range within the angle of view over time in accordance with the motion detected by the detection portion, and recording processing of recording the extraction video during movement of the extraction range in the movement processing on a recording medium.

In an approach for detecting queuing information, a processor analyzes a video monitoring a queue area. A processor detects a queue barrier in the queue area using an instance segmentation technique based on the video. A processor identifies a queue in the queue area using a heuristic technique. A processor recognizes a number of people in the queue. A processor provides an estimation of a wait time for the queue.

A device has a microphone array that acquires sound data and a camera that acquires image data. A portion of the device may be moveable by one or more actuators. Responsive to the user, the portion of the device is moved toward an estimated direction of the user. The estimated direction is based on sensor data including the sound data and the image data. First variance values for individual sound direction values are calculated. Data derived from the image data or data from other sensors may be used to modify the first variance values and determine second data comprising second variances. The second data may be processed to determine the estimated direction of the user. For example, the second data may be processed by both a forward and a backward Kalman filter, and the output combined to determine an estimated direction toward the user.