Tag Archives: Kalman filter

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more precise than those based on a single measurement alone, by using Bayesian inference and estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

Motion detection and objects tracking algorithm implementation

Motion detection and object tracking

Motion recognition is very important in automated surveillance systems. In this article we propose a novel approach to implement a complete framework that allows real-time detection and motion-based tracking of moving objects in a video stream acquired by a stationary camera.