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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.
A computer processes the data and displays the movements of the actor, providing the desired camera positions in terms of objects in the set. Retroactively obtaining camera movement data from the captured footage is known as match moving or camera tracking.
Match moving, by contrast, is typically a software-based technology, applied after the fact to normal footage recorded in uncontrolled environments with an ordinary camera. Match moving is primarily used to track the movement of a camera through a shot so that an identical virtual camera move can be reproduced in a 3D animation program.
Object detection; Segmentation and recognition; Stereopsis stereo vision: depth perception from 2 cameras; Structure from motion (SFM) Motion video tracking; Augmented reality; To support some of the above areas, OpenCV includes a statistical machine learning library that contains: Boosting; Decision tree learning; Gradient boosting trees
SwisTrack is an open-source tool for tracking robots and other objects using a camera or a recorded video as input source. It has mainly been developed by Distributed Intelligent Systems and Algorithms Laboratory (DISAL) and the LPM Vision Group at EPFL in Lausanne, Switzerland.
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
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 Video tracking , the process of locating a moving object over time using a camera
The process of estimating a camera's motion within an environment involves the use of visual odometry techniques on a sequence of images captured by the moving camera. [20] This is typically done using feature detection to construct an optical flow from two image frames in a sequence [16] generated from either single cameras or stereo cameras. [20]