Spatiotemporal Segmentation and Tracking of Objects for Visualization of Videoconference Image Sequences

Abstract--In this paper, a procedure is described for the segmentation, content-based coding, and visualization of videoconference image sequences. First, image sequence analysis is used to estimate the shape and motion parameters of the person facing the camera. A spatiotemporal filter, taking into account the intensity differences between consequent frames, is applied, in order to separate the moving person from the static background. The foreground is segmented in a number of regions in order to identify the face. For this purpose, we propose the novel procedure of K-Means with connectivity constraint algorithm as a general segmentation algorithm combining several types of information including intensity, motion and compactness. In this algorithm, the use of spatiotemporal regions is introduced since a number of frames are analyzed simultaneousl,y and as a result, the same region is present in consequent frames. Based on this information, a 3-D ellipsoid is adapted to the person...

• Type: Conference
• Year: 1999
• Where: ICMCS
• Authors: Ioannis Kompatsiaris, Michael G. Strintzis
• Keywords: Consequent Frames, General Segmentation Algorithm, ICMCS 1999, Image Sequence, Multimedia