[−][src]Trait opencv::tracking::prelude::TrackerTLD

pub trait TrackerTLD: Tracker {
    fn as_raw_TrackerTLD(&self) -> *const c_void;
    fn as_raw_mut_TrackerTLD(&mut self) -> *mut c_void;
}

the TLD (Tracking, learning and detection) tracker

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 TLD .

The Median Flow algorithm (see cv::TrackerMedianFlow) was chosen as a tracking component in this implementation, following authors. The tracker is supposed to be able to handle rapid motions, partial occlusions, object absence etc.