  Sports activities are an integral part of our day to day life. Introducing
autonomous decision making and predictive models to recognize and analyze
different sports events and activities has become an emerging trend in computer
vision arena. Albeit the advances and vivid applications of artificial
intelligence and computer vision in recognizing different popular western
games, there remains a very minimal amount of efforts in the application of
computer vision in recognizing traditional Bangladeshi games. We, in this
paper, have described a novel Deep Learning based approach for recognizing
traditional Bengali games. We have retrained the final layer of the renowned
Inception V3 architecture developed by Google for our classification approach.
Our approach shows promising results with an average accuracy of 80%
approximately in correctly recognizing among 5 traditional Bangladeshi sports
events.
