Lukas Cerman, Vaclav Hlavac, and Jiri Matas (2009)
Sputnik Tracker: Having a Companion Improves Robustness of the Tracker
In: Scandinavian Conference on Image Analysis (SCIA).
Tracked objects rarely move alone. They are often
temporarily accompanied by other objects undergoing similar
motion. We propose a novel tracking algorithm called Sputnik
(Sputnik, pronounced sput-nik in Russian, was the first
Earth-orbiting satellite launched in 1957. According to
Merriam-Webster dictionary, the English translation of the Russian
word sputnik is a travelling companion.) Tracker. It is capable of
identifying which image regions move coherently with the tracked
object. This information is used to stabilize tracking in the
presence of occlusions or fluctuations in the appearance of the
tracked object, without the need to model its dynamics. In
addition, Sputnik Tracker is based on a novel template tracker
integrating foreground and background appearance cues. The time
varying shape of the target is also estimated in each video frame,
together with the target position. The time varying shape is used
as another cue when estimating the target position in the next
frame.

