Camera Networks: The Acquisition and Analysis of Videos Over Wide Areas
As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process.
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activity recognition afﬁnity agents approach calibration camera node camera parameters Canonical Correlation Analysis color color histograms computer vision consensus algorithms correlation corresponding covariance matrix cross covariance data association deﬁned denoted descriptor detection distributed camera networks distributed tracking dynamic environment Extended Kalman—Consensus ﬁelds of view Figure ﬁnd ﬁrst framework fusion center game theory graph ground plane high—resolution image histogram Hungarian algorithm image plane imaging utility information matrix Kalman ﬁlter Kalman—Consensus ﬁlter label matching maximum matching measurement methods multi—agent systems multiple cameras naive nodes Nash equilibrium neighboring cameras network of cameras network topology non—overlapping cameras object obtained ofthe Olfati—Saber optimal overlapping parameter settings particle ﬁlter pixels problem proposed PTZ cameras region represented resolution Roy—Chowdhury satisﬁed similarity matrix smart camera Song speciﬁc strategies surveillance target Tj tracker tracking performance tracking results trajectories update utility function vector video analysis viewing angle wide area zoom