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  2. Keystroke logging - Wikipedia

    en.wikipedia.org/wiki/Keystroke_logging

    Keystroke logging. Keystroke logging, often referred to as keylogging or keyboard capturing, is the action of recording (logging) the keys struck on a keyboard, [ 1][ 2] typically covertly, so that a person using the keyboard is unaware that their actions are being monitored. Data can then be retrieved by the person operating the logging program.

  3. Keystroke dynamics - Wikipedia

    en.wikipedia.org/wiki/Keystroke_dynamics

    Keystroke dynamics. Keystroke dynamics, keystroke biometrics, typing dynamics, or typing biometrics refer to the collection of biometric information generated by key-press-related events that occur when a user types on a keyboard. [1] Use of patterns in key operation to identify operators predates modern computing, [2] and has been proposed as ...

  4. Keystroke-level model - Wikipedia

    en.wikipedia.org/wiki/Keystroke-level_model

    The keystroke-level model consists of six operators: the first four are physical motor operators followed by one mental operator and one system response operator: [5] K (keystroke or button press): it is the most frequent operator and means keys and not characters (so e.g. pressing SHIFT is a separate K operation). The time for this operator ...

  5. Kanade–Lucas–Tomasi feature tracker - Wikipedia

    en.wikipedia.org/wiki/Kanade–Lucas–Tomasi...

    In computer vision, the Kanade–Lucas–Tomasi (KLT) feature tracker is an approach to feature extraction. It is proposed mainly for the purpose of dealing with the problem that traditional image registration techniques are generally costly. KLT makes use of spatial intensity information to direct the search for the position that yields the ...

  6. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    Pyramids. v. t. e. The scale-invariant feature transform ( SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David Lowe in 1999. [ 1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual ...

  7. This hand-tracking algorithm could lead to sign language ...

    techcrunch.com/2019/08/19/this-hand-tracking...

    For one thing, they abandoned the idea of having a system detect the position and size of the whole hand. Instead, they only have the system find the palm, which is not only the most distinctive ...

  8. Template matching - Wikipedia

    en.wikipedia.org/wiki/Template_matching

    Deformable templates in computational anatomy. Template matching is a central tool in computational anatomy (CA). In this field, a deformable template model is used to model the space of human anatomies and their orbits under the group of diffeomorphisms, functions which smoothly deform an object. [12] Template matching arises as an approach to ...

  9. Roundup (issue tracker) - Wikipedia

    en.wikipedia.org/wiki/Roundup_(issue_tracker)

    The database schema is defined in a Python file in the tracker instance's root directory; it is re-read whenever the server is started anew. When changes are found (e.g. new attributes), the tables of the underlying RDBS are altered accordingly. Page templates. Roundup uses the Template Attribute Language (TAL) to create HTML or XHTML output.