Single Object Long-term Tracker for Smart Control of a PTZ camera

Abstract

In this paper, we present a single-object long-term tracker that supports high appearance changes in the tracked target, occlusions, and is also capable of recovering a target lost during the tracking process. The initial motivation was real time automatic speaker tracking by a static camera in order to control a PTZ camera capturing a lecture. The algorithm consists of a novel combination of state-of-the-art techniques. Subjective evaluation, over existing and newly recorded sequences, shows that the tracker is able to overcome the problems and difficulties of long-term tracking in a real lecture. Additionally, in order to further assess the performance of the proposed approach, a comparative evaluation over the VOT2013 dataset is presented.