Shadow Elimination in Soccer Game Video using Background Subtraction and Sobel Operators

Object detection in real time is considered as a challenging problem. However, it is very important in a wide range of applications, especially in field of multimedia. The players and ball are the most important objects in soccer game videos and detecting them is a challenging task because of many difficulties, such as shadow and illumination, ball size, ball occluded by players or merged with lines, and similar appearance of players. To overcome these problems, we present a new system to detect the players and ball in real-time by using background subtraction and Sobel detection. The results were more accurate and approximately two times faster than those using only background subtraction.

Body Height Estimation System Based on Binocular Vision

In this paper, we propose a novel approach to estimate body height from video sequences based on binocular stereo vision. Firstly, we built a parallel binocular stereo vision device and detected the foreground by using Gaussian mixture model. After shadow elimination, we proposed the contour screening algorithm to obtain the human foreground and the top point in the foreground image. Then, we detected SURF feature points in the binocular images and screened them for 3 times to calculate the disparity of the head. After that, the height of human bodies can be estimated with the calibration parameters of binocular cameras. The experimental results demonstrate that the proposed method has higher measurement accuracy and spends less time which proves the effectiveness of the method.