TrackerKCF

trackingclassOpenCV 5.0.0

import { TrackerKCF } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

Explore visually: KCF tracking →

Use a kernelized correlation filter to locate a learned appearance in a local search region.

VISUAL WALKTHROUGHMotion

REFERENCE INPUTTarget moves in the next frame

The previous position is a starting estimate, not the new target location.

→

RESULTUpdate the target box

Move to the response peak and update appearance.

Illustrative example. The stages explain the method; they are not a live OpenCV execution.

Native object: release it with using or delete(). Factories can return null; check before calling methods. Inherits Tracker.

the KCF (Kernelized Correlation Filter) tracker KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed. This tracking method is an implementation of [KCF_ECCV] which is extended to KCF with color-names features ([KCF_CN]). The original paper of KCF is available at http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf as well as the matlab implementation. For more information about KCF with color-names features, please refer to http://www.cvl.isy.liu.se/research/objrec/visualtracking/colvistrack/index.html.

Upstream declaration ↗

Constructors and members

static create

Create KCF tracker instance

create(parameters: TrackerKCF_Params): TrackerKCF | null;

2 available overloads

create(): TrackerKCF | null;

create(parameters: TrackerKCF_Params): TrackerKCF | null;

parameters

KCF parameters TrackerKCF::Params

Returns

The TrackerKCF | null result.

Upstream declaration ↗

clone

Create another handle to the same native object. This retains the object without copying its pixels or algorithm state; dispose both handles separately.

clone(): this;

Returns

The this result.

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.