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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 .
In the 1970s, researcher Zenon Pylyshyn postulated the existence of a "primitive visual process" in the human brain capable of "indexing and tracking features or feature-clusters". Using this process, cognitive processes can continuously refer to, or "track", objects despite movement of the objects causing them to stimulate different visual ...
An example of a generic RFID chip. Some produce traceability makers use matrix barcodes to record data on specific produce. The international standards organization EPCglobal under GS1 has ratified the EPC network standards (esp. the EPC information services EPCIS standard) which codify the syntax and semantics for supply chain events and the secure method for selectively sharing supply chain ...
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]
Eptascape has a product which provides automatic people tracking and provides privacy-enabled surveillance. [4] Cardea is a context-aware visual privacy protection mechanism that protects bystanders' visual privacy in photos according to their context-dependent privacy preferences, using face recognition and context computing techniques. [5]
The trained click behavior is then continued on the presented visual stimuli. In the same time point-and-click is recorded. The click data are interpreted as points of attention ( Fixation (visual) ) and can be analyzed and visualized analogously to the classical eye tracking.
Visual odometry is the process of determining equivalent odometry information using sequential camera images to estimate the distance traveled. Visual odometry allows for enhanced navigational accuracy in robots or vehicles using any type of locomotion on any [citation needed] surface.
Another type of pose tracking used more often in newer systems is referred to as inside-out tracking, including Simultaneous localization and mapping (SLAM) or Visual-inertial odometry (VIO). One example of a device that uses inside-out pose tracking is the Oculus Quest 2 .