G.8 - Moving Object Detection in Image Sequences Using Texture Features

Abstract

This chapter presents an algorithm for detection of moving objects in image sequences. The proposed algorithm uses texture features which are obtained blockwise from the frames of the image sequence. The object detection itself is essentially a temporal change detection algorithm, detecting changes of corresponding texture features between successive frames. The subsequent change detection algorithm operates on a small number of simple features computed per block. This approach results in an efficient object detection scheme with low computational complexity. The method is insensitive to small movements of strongly textured areas like trees moving in the wind. An object entering or leaving a block will, however, cause a change of the feature in almost all cases. Thus the reliability of the object detection can be increased by using suitable texture features. Sharing the low complexity with earlier detection methods, the presented algorithm can deal with complex textured scenes and temporarily varying image signal statistics. The robustness and efficiency of the proposed method has been extensively tested in offline simulations as well as in online processing of numerous scenes.