Multiple Object Tracking

November 10, 2016


Tracking players in occlusion by softly clustering conceptual soccer field cells.
Accurately tracking soccer players is a non-trivial task due to existence of various challenges. Soccer players try to confuse each other with unexpected changes in their velocity. Moreover players almost look identical and they are frequently involved in possession challenges and tackles in which they could be completely occluded by another resulting in tracking ambiguities.
Player tracking algorithm is specifically designed to address the problems above and precisely track players in rain or shine. “In our approach, the soccer field is conceptually modeled as a two dimensional world and partitioned into a grid consisting of dense spatial cells. Each cell corresponds to unique ground point on the soccer field and is represented by a fixed image patch in the video.”
We employ a well-known machine learning technique and a classifier, trained with over 100k player samples, to detect the set of cells containing players in the video. This allows our tracking algorithm to function in a variety of challenging environmental conditions.


Share on Facebook
Share on Twitter
Please reload

Featured Posts

Histoper Data Collection is Successfully Launched in Arçelik's Factory

June 23, 2017

Please reload

Recent Posts

December 16, 2016

December 16, 2016

Please reload

Please reload

Search By Tags
Please reload

Follow Us
  • Facebook Basic Square
  • Twitter Basic Square
  • Google+ Basic Square

Ul. Vasil Glavinov (Tifani),

br 14 Vl. 1 020,

1000 Skopje Centar

+389 23 118 158

Macedonia Office