Identity switches caused by inter-object interactions remain a critical problem for multi-player
tracking in real-world sports video analysis. Existing approaches utilizing the appearance …

This paper addresses the problem of automatic player identification in broadcast sports
videos filmed with a single side-view medium distance camera. Player identification in this …

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 …

In this paper, we present a new optical character recognition (OCR) approach which allows
real-time, automatic extraction and recognition of digits in images and videos. Our method …

The rapid progress in deep learning-based computer vision has opened unprecedented
possibilities in computing various high-level analytics for sports. Artificial intelligence …

Detection of player identity is challenging task in sport video content analysis. In case of
soccer video player number recognition is effective and precise solution. Jersey numbers …

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 …

Player identification is important task in sport video content analysis. In case of soccer video
player numbers can be exploited to perform recognition. Jersey numbers can be considered …

Scene understanding is an important aspect of computer vision, encompassing a variety of
tasks such as image classification, object detection, scene graph generation, and action …

In this work, an efficient, mere algorithm for detection and recognition of a soccer ball and
players has been proposed. It actually involves two stages, detection followed by …