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In this paper the design, implementation, and evaluation of a general purpose smartphone based intelligent surveillance system is presented. It has two main elements; i) a detection module, and ii) a classification module. The detection module is based on the recently introduced approach that combines the well-known background subtraction method with the optical flow and recursively estimated density...
A new approach to autonomously detect and track a moving object in a video captured by a moving camera (possibly mounted on a unmanned vehicle, UxV) is proposed in this paper. It is based on a combination of the recently introduced recursive density estimation (RDE) approach and the well-known scale invariant feature transformation (SIFT). The new approach involves building a model of the background...
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