We present a deep recurrent convolutional neural network (CNN) approach to solve the
problem of hockey player identification in NHL broadcast videos. Player identification is a …

Identification of players in image or videos in the sporting events, and automatic vehicle
identification by number plate during its moving state is an approachable but tough task. In …

This paper describes different methods used for identification and tracking of player and
license plate. Although object (Player and license plate) recognition have projected many …

We present an athlete identification module forming part of a system for the personalization
of sport video broadcasts. The aim of this module is the localization of athletes in the scene …

Text extraction, that is segmentation of characters from background, is especially important
step that greatly determines final recognition performance. Particular focus is put on this task …

Text extraction is important step that strongly influences on final recognition result. In case of
scene text this task is especially challenging because of variable illumination, complex …

This paper deals with the automatic assignment of players' identities in images of sport
scenes. The task to correctly assign a player id to one unique player over many frames …

This report presents a module for athlete recognition in broadcast videos as part of a video
entertainment application. The aim is to identify athletes by means of name or number as …

In this work, we present a deep recurrent convolutional neural network approachto solve the
problem of hockey player identification in NHL broadcast videos. Player identification is a …

Veľké množstvo dostupných obrázkov aktívne vplýva na vývoj programov schopných
rozpoznávať ich obsah bez spoluúčasti používateľa. Rozpoznávanie obsahu môže …