TrackerTLD Class

TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection. The tracker follows the object from frame to frame.The detector localizes all appearances that have been observed so far and corrects the tracker if necessary.The learning estimates detector’s errors and updates it to avoid these errors in the future.The implementation is based on @cite TLD . The Median Flow algorithm (see cv::TrackerMedianFlow) was chosen as a tracking component in this implementation, following authors. Tracker is supposed to be able to handle rapid motions, partial occlusions, object absence etc.

public class TrackerTLD : Tracker

Public Class TrackerTLD
	Inherits Tracker

public ref class TrackerTLD : public Tracker

type TrackerTLD =  
    class
        inherit Tracker
    end