A real-time algorithm for moving objects detection in video images
Hong Song, Feng Shi · 2004
This paper addresses our proposed algorithm to automatically segment out moving objects in video images. The algorithm is based on the region-based frame difference and adjusted background subtraction. An adaptive threshold technique is employed to choose the threshold value to segment the moving foreground objects from the still background. The experimental results demonstrate that both the accuracy and processing speed are very promising. Furthermore, the algorithm is robust to the changes of lighting condition and can be applied for the practical use.