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Services for smart home share a fundamental problem—object recognition, which is challenging because of complex background and appearance variation of object. In this paper we develop a framework of object recognition for smart home integrating SIFT (scale invariant feature transform) and context knowledge of home environment. The context knowledge includes the structure and settings of a smart home,...
In this paper we present a method to detect vehicles on the road for intelligent transport application. In the proposed method, statistical property of background pixels are defined, where foreground objects of a current frame are detected by subtracting the current frame w.r.t. background color model and background edge model. Color and edge are considered here as these two features provide complementary...
With the proliferation of advanced computer vision techniques, machine vision-based Intelligent Transportation System (ITS) will be the next wave of technologies for better traffic management and monitoring. In this paper, we present a reconfigurable and collaborative multi-camera framework for vehicle detection and license plate recognition. The synchronization between multiple cameras enable us...
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