TRACKING, LEARNING AND DETECTION OF AN OBJECT IN VIDEO

Main Article Content

Miss Afrin R Pathan Mrs. Poornima Talwai

Abstract

This paper investigate long-term tracking of
unknown objects in a video stream. The object is defined
by its location and extent in a single frame. In every frame
that follows, the task is to determine the objects location
and extent or indicate that the object is not present. A
novel approach called Tracking-Learning-Detection (TLD)
framework that explicitly decomposes the long term
tracking task into tracking, learning and detection. The
tracker follows the object from frame to frame. The
locator localizes all appearances that have been observed
so far and corrects the tracker if necessary. The learning
estimates the detectors errors and updates it to avoid these
errors in the future.

Article Details

How to Cite
PATHAN, Miss Afrin R; TALWAI, Mrs. Poornima. TRACKING, LEARNING AND DETECTION OF AN OBJECT IN VIDEO. ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY, [S.l.], v. 3, n. 3, aug. 2017. ISSN 2350-1146. Available at: <http://asianssr.org/index.php/ajct/article/view/2896>. Date accessed: 21 oct. 2017.
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