Real-time and accurate segmentation of moving objects in dynamic scene
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Machine Graphics & Vision International Journal
Examining Kalman Filters Applied to Tracking Objects in Motion
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Automatic video segmentation and tracking for content-based applications
IEEE Communications Magazine
Videopsy: dissecting visual data in space-time
IEEE Communications Magazine
Video object segmentation and tracking using ψ-learning classification
IEEE Transactions on Circuits and Systems for Video Technology
Automatic unconstrained online configuration of a master-slave camera system
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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The paper presents a video monitoring system utilizing fixed and PTZ cameras for tracking of moving objects. First type of camera provides image for background modelling, being employed for foreground objects localization. Estimated objects locations are then utilised for steering of PTZ cameras when observing targeted objects with high close-ups. Objects are classified into several classes, then basic event detection is being performed. Event type, object localisation and images acquired by the cameras are presented visually in a "live map" system. In the paper details related to detection of moving objects are presented. Next, camera calibration procedure and geopositioning coordinates way of processing are discussed. Event detection is described. Finally an experiment is presented, organised in order to verify the camera tracking system accuracy.