K. SuganyaDevi

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In this project we present detection the motion in video frames using background frame Matching. These document video surveillance systems have become widely available to ensure safety and security in both the public and private sectors due to incidents of terrorist activity and other social problems. This paper proposes a novel motion detection method with(More)
Segmenting Foreground objects from a video sequence is a key processing and critical step in video analysis such as object detection and tracking. Several Foreground detection techniques and edge detectors have been developed till now but the problem is that it is very difficult to obtain an optimal foreground due to the interference from the factors like(More)
Foreground detection is a key procedure in video analysis such as object detection and tracking. Several foreground detection techniques and edge detectors have been developed until now but the problem is, usually it is difficult to obtain an optimal foreground due to weather, light, shadow and clutter interference. Background subtract is a common method in(More)
The aim of ECU group is to research the Multicore architecture for automotive safety applications to meet hard real-time embedded systems timing and reliability constraints. The automotive industry needs to change its architectural approach in developing vehicle electronics systems. By integrating more number of functions in a limited set of ECUs. These new(More)
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