Table of Contents

Namespace Emgu.CV.Legacy

Classes

MultiTracker

This class is used to track multiple objects using the specified tracker algorithm. The MultiTracker is naive implementation of multiple object tracking. It process the tracked objects independently without any optimization accross the tracked objects.

Tracker

Long-term tracker

TrackerBoosting

This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm. The classifier uses the surrounding background as negative examples in update step to avoid the drifting problem.

TrackerMOSSE

MOSSE Visual Object Tracking using Adaptive Correlation Filters

TrackerMedianFlow

Median Flow tracker implementation. The tracker is suitable for very smooth and predictable movements when object is visible throughout the whole sequence.It's quite and accurate for this type of problems (in particular, it was shown by authors to outperform MIL). During the implementation period the code at http://www.aonsquared.co.uk/node/5, the courtesy of the author Arthur Amarra, was used for the reference purpose.

TrackerTLD

TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection.