The use of vanishing point for the classification of reflections from foreground mask in videos.

Extraction of foreground is a basic task in surveillance video analysis. In most real cases, its performance is heavily based on the efficiency of shadow detection and on the analysis of lighting conditions and reflections caused by mirrors or other reflective surfaces. This correspondence is focused on the improvement of foreground extraction in the case of planar reflective surfaces.

Stochastic view registration of overlapping cameras based on arbitrary motion.

A new motion-based method is presented for automatic registration of images in multicamera systems, to permit synthesis of wide-baseline composite views. Unlike existing static-image and motion-based methods, our approach does not need any a priori information about the scene, the appearance of objects in the scene, or their motion. We introduce an entropy-based preselection of motion histories and an iterative Bayesian assignment of corresponding image areas.

Detection of gait characteristics for scene registration in video surveillance system.

This paper presents a robust walk-detection algorithm, based on our symmetry approach which can be used to extract gait characteristics from video-image sequences. To obtain a useful descriptor of a walking person, we temporally track the symmetries of a person's legs. Our method is suitable for use in indoor or outdoor surveillance scenes.

Estimation of the vanishing point in camera-mirror scenes from video.

Knowledge of the position of the vanishing point is the key for geometrical modeling of an image containing a reflective surface or cast shadows. Such an image can be analyzed as two subimages that constitute a stereo pair. For this model-estimation task an automatic method is presented that utilizes motion statistics and the statistical properties of image points for the determination of point correspondence and the subsequent estimation of vanishing point position, optimized by use of a goodness-of-fit function.