An overview of moving object segmentation in video images

Moving object segmentation utilizes the temporal information inherent in a sequence of images to extract the moving objects from each image. Image registration, required in applications where the imaging sensor moves, quantifies the relative displacement between the images in the sequence. Three classes of image registration techniques are distinguished; correlation methods, Fourier methods, and feature point extraction. The moving object segmentation algorithms are divided into two categories. The image differencing algorithms presented are absolute differencing using an estimated reference, and temporal variance measurement. The selective segmentation algorithms presented are trajectory analysis, steadiness analysis, and shape analysis. The performance of the different moving object segmentation algorithms is evaluated and results are presented