Survey and analysis of multimodal sensor planning and integration for wide area surveillance
ACM Computing Surveys (CSUR)
3D Target Scale Estimation and Target Feature Separation for Size Preserving Tracking in PTZ Video
International Journal of Computer Vision
Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras
Computer Vision and Image Understanding
Adaptive online camera coordination for multi-camera multi-target surveillance
Computer Vision and Image Understanding
Camera handoff with adaptive resource management for multi-camera multi-object tracking
Image and Vision Computing
A Catadioptric and Pan-Tilt-Zoom Camera Pair Object Tracking System for UAVs
Journal of Intelligent and Robotic Systems
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Dual camera systems (omnidirectional and slaved PTZ cameras) are widely used in public area monitoring and target tracking. However, due to their low and non-uniform resolution, omnidirectional cameras are only able to provide moderate accuracy in both motion/target detection and tracking. To overcome this disadvantage, two methods are proposed: geometry mapping based on a polynomial imaging model and closed loop cooperative tracking. Using a unified polynomial approximation [1], the geometry relationship between the omnidirectional and PTZ cameras can be formulated in a general solution from camera calibration with a fully automated model selection. Distributed Kalman filters are developed to exchange estimated trajectories among cameras forming closed loop sub-systems for individual cameras. The effectiveness of the proposed algorithms is illustrated via experiments and comparisons with existing systems.