30 April 2018 Parallax rectification and stabilization technique for multiple objects tracking in wide area surveillance system
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Abstract
Tracking a moving object in a video sequence is a critical problem in wide area surveillance system applications. Our proposed system provides high-resolution motion imagery surveillance with a low frame rate on a city-sized region within which multiple moving objects are tracked simultaneously in real time. The system faces multiple challenges, including significant camera motion, strong parallax, tracking many moving objects with few pixels for each target, single-channel data, and low video frame rate. In this work, we propose a new method for parallax rectification and stabilization using a wavelet based scale-invariant feature transform (SIFT) flow technique. The results were compared with the existing state of the art methods. Various challenges associated with the detection and tracking of multiple objects in wide area surveillance systems are discussed.
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Issacniwas Swamidoss, Issacniwas Swamidoss, Slim Sayadi, Slim Sayadi, Maya Al Hemeiri , Maya Al Hemeiri , } "Parallax rectification and stabilization technique for multiple objects tracking in wide area surveillance system", Proc. SPIE 10649, Pattern Recognition and Tracking XXIX, 1064914 (30 April 2018); doi: 10.1117/12.2316486; https://doi.org/10.1117/12.2316486
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