Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking

Abstract. Object localization and tracking are key issues in the analysis of scenes for video surveillance or scene understanding applications. This paper presents a contribution to the object tracking task in indoor environments surveyed by multiple fixed cameras. The method proposed uses a foreground separation process at each camera view. Then, a 3Dforeground scene is modeled and discretized into voxels making use of all the segmented views, preventing the difficulties of inter-object occlusions in 2D trackers, and increasing the robustness for not having to rely only in one view. The voxels are grouped into meaningful blobs, whose colors are modeled for tracking purposes, using a novel voxelcoloring technique that considers possible inter/intra-object occlusions. Finally, color information together with other characteristic features of 3D object appearances are temporally tracked using a template-based technique which takes into account all the features simultaneously in accordanc...

• Type: Conference
• Year: 2005
• Where: MLMI
• Authors: José Luis Landabaso, Montse Pardàs
• Keywords: MLMI 2005, Object Tracking Task, Possible Inter/intra-object Occlusions, Scene Understanding Applications