Tech24 Deals Web Search

Search results

  1. Results from the Tech24 Deals Content Network
  2. Joint Probabilistic Data Association Filter - Wikipedia

    en.wikipedia.org/wiki/Joint_Probabilistic_Data...

    The joint probabilistic data-association filter (JPDAF) [ 1] is a statistical approach to the problem of plot association (target-measurement assignment) in a target tracking algorithm. Like the probabilistic data association filter (PDAF), rather than choosing the most likely assignment of measurements to a target (or declaring the target not ...

  3. Probabilistic data association filter - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_data...

    Matlab: The PDAF and JPDAF algorithms are implemented in the singleScanUpdate function that is part of the United States Naval Research Laboratory's free Tracker Component Library. [3] Python: The PDAF and other data association methods are implemented in Stone-Soup. [4] A tutorial demonstrates how the algorithms can be used. [5] [6]

  4. 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 ...

  5. 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 ...

  6. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  7. 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 ...

  8. 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.

  9. Perspective-n-Point - Wikipedia

    en.wikipedia.org/wiki/Perspective-n-Point

    Perspective-n-Point[ 1] is the problem of estimating the pose of a calibrated camera given a set of n 3D points in the world and their corresponding 2D projections in the image. The camera pose consists of 6 degrees-of-freedom (DOF) which are made up of the rotation (roll, pitch, and yaw) and 3D translation of the camera with respect to the world.