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Video tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression , augmented reality , traffic control, medical imaging [ 1 ] and video editing .
ARToolKit is also available as a plugin for the Unity game engine for example to align a virtual camera within Unity with a real-world camera relative to a tracked marker target and taking care of communicating with the camera. The plugin supports Unity on OS X, Unity on Windows, Unity on Android, and Unity on iOS. [13]
2D to 3D video conversion (also called 2D to stereo 3D conversion and stereo conversion) is the process of transforming 2D ("flat") film to 3D form, which in almost all cases is stereo, so it is the process of creating imagery for each eye from one 2D image.
Digital image correlation and tracking is an optical method that employs tracking and image registration techniques for accurate 2D and 3D measurements of changes in images. This method is often used to measure full-field displacement and strains , and it is widely applied in many areas of science and engineering.
BD and BRRips come in various (now possibly outdated) versions: m-720p (or mini 720p) a compressed version of a 720p and usually sized at around 2–3 GB. Currently uncommon. Movie piracy sites such as RARBG and YTS has its own compressed versions of the movies released on these sites, tagged as 1080p. 720p
Motion tracking may refer to: Motion capture , the process of recording the movement of objects or people Match moving , a cinematic technique that allows the insertion of computer graphics into live-action footage with correct position, scale, orientation, and motion relative to the objects in the shot
A camera that has built-in GPS; A camera with interface for an external GPS (the interface could be a physical connector or a bluetooth adapter to a remote GPS logger, or WiFi and an app to allow the camera to sync GPS from a smartphone);
P'(camera i, XY i) ∩ P'(camera j, XY j) ≠ {} Because the value of XY i has been determined for all frames that the feature is tracked through by the tracking program, we can solve the reverse projection function between any two frames as long as P'(camera i, XY i) ∩ P'(camera j, XY j) is a small set.