Video Analytics with FPGA based smart cameras for Object Recognition in the game of field hockey

Abstract

Video Analytics is an image processing method that takes video as input and extracts information. It is the latest technology that analyzes and processes a digital video signal for real time monitoring. Some of the countries of south and eastern hemisphere are top at field hockey because they are very much developed in technology. Even though, field hockey is our national game we are not in the top because of lack of technology. By using video analytics, we can analyze the player’s video and from that they can improve their performance. Not only performance analysis there are many advantages like weapon detection, missing person in stadium, replay of players, real time instant videos, scores, reconstruct story of a match, violent detection can be analyzed. The experimental setup for this work is camera with SD-card, VGA interfacing with Field Programmable Gate Array (FPGA). The SD-card communicates with FPGA using SD-card interface. Image datas stored in SD-card are read by FPGA and stored in its memory. Then that image is processed using Convolutional Neural Network (CNN). This algorithm detects the objects in an image. Then object recognition is performed for videos to make decisions. This whole processing of image is performed inside FPGA. Finally, to display the processed image in monitor, FPGA communicates with VGA interface through VGA cable. Real time videos will be displayed by increasing the frame rate. Our work is implemented in Altera DE 1 FPGA board of device EP2C20F484C7N which comes under family of cyclone II and image displayed on monitor with resolution and frequency of 1366x768-60 Hz.