Facebook Technologies, LLC (Menlo Park, CA)

Embodiments are used to track and locate objects in the environment around the user. A number of imaging devices are employed in the system. An object tracking device is also included. The system is able to identify an object within an area of search, define a tracking area that is smaller than the regions for the object and scan the tracking region to determine the exact location of the object. The system could create an index of objects, determine the location of the objects, and then generate an image of the search region in relation to the locations that are of the objects.

The disclosure described herein generally relates to artificial reality systems, and in particular, to the tracking of objects as well as obtaining location information of objects in the local area.

Mixed reality (MR), augmented reality, and virtual reality (VR) systems can all be used to record objects in three dimensions (or 3D). Different camera imaging architectures have strengths and weaknesses that are different. This means that certain camera imaging architectures are more effective in various operating conditions. It is essential to have a system that can track objects, including objects belonging to a user, such as a user’s hand or objects that surround the user, to produce inputs and then provide the user with interactive displays depending on the inputs. However, large amounts of computing and data are usually needed for effective real-time tracking of objects.

Embodiments are used to monitor and identify the location of an object within a monitored environment. A number of imaging devices can be employed in an system. A device to track objects is also included. The system is able to recognize an object in a search region in an image captured by one or more imaging devices. It will then identify an area of tracking that is smaller than the searchregion corresponding to the object. It will then examine the tracking area in time to locate locations that correspond with the object overtime. The system may make a ranking of objects in one or more search areas and identify the regions of tracking that are associated with them, scan these areas with the object ranking to determine the exact location of objects over time. Then, it will build a model of one or more search areas or the surroundings by analyzing the locations of the objects. One or more objects can be associated with a location. Users can create a hand pose by locating several hand-related characteristics (e.g. joints) within a given space.

In some embodiments, an object tracking unit receives image data from the search area from one or more imaging devices. Based on the search-area image the object tracking unit can determine if an object is within the search region. The object tracking unit utilizes the search area image data to identify a tracking area that corresponds to the object. The area of the tracking is smaller than the search regions. The object tracking unit gets the images of the region that are captured by the imaging devices. The object tracking unit determines the location associated with the object based on tracking region image data of the tracking region.

An imaging device may produce image data of the search area for the search area, while a second imaging devices may generate images for the region of tracking for the tracking region. The first imaging device may be the same model that the second device or may be a different imaging device. One imaging device scans the search region to create search region imagedata while another scans the area of the tracking in order to create the tracking regions image data.

In certain embodiments the system can provide for user selection of objects that can be tracked in the location. The system may include a hand tracking device to determine the hand’s position of a user and an eye tracking device to detect the position of the eye of the user. It can also scan an area of the object to track its position over time.

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