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In real-time, it is highly essential to have an autonomous translator that can process the images and recognize the signs very fast at the speed of streaming images. In this paper, architecture is being proposed using the neural networks identification and tracking to translate the sign language to a voice/text format. Introduction of Point of Interest(More)
This paper presents a novel strategy in determining an optimal sensor placement scheme for environmental monitoring using Wireless Sensor Networks (WSN). This is accomplished by minimizing the variance of spatial analysis based on randomly chosen points representing the sensor locations. These points are assigned randomly generated measurements based on a(More)
This paper introduces a temperature control framework for smart homes using wireless sensor networks (WSN). A key issue with temperature monitoring and control is standard sampling techniques which take few 100 C.C. Castello et al. temperature samples into consideration to make heating and cooling decisions in large areas of space. This results in poor(More)
This paper provides a method for planning fuel-optimal trajectories for multiple unmanned aerial vehicles to reconfigure and traverse between goal points in a dynamic environment in real-time. Recent developments in robot motion planning have shown that trajectory optimization of linear vehicle systems including collision avoidance can be written as a(More)
This paper presents a novel framework for intelligent temperature control in smart homes using Wireless Sensor Networks (WSN) and geostatistical analysis for total spatial awareness. Sampled temperature readings from sensor nodes have the ability to inform the system on temperatures at specific locations. However, these locations where readings are taken do(More)
In this paper, we present a technique of detection and tracking of one or possibly more moving objects by implementing a “Vector Bank“ into an H.264 based System-on-a-Chip design architecture as a vision sensor in aviation systems, such as Unmanned Aerial Vehicles (UAV). Most of the existing target-tracking algorithms are based on software(More)
Occlusion is a complex problem which can cause the loss of the target in the tracking process. One of the solutions for the occlusion problem is to detect the occlusion before it occurs or partially occurs and to track the moving objects using an additional camera separated by a known distance and known camera parameters, which can give a better view. Thus,(More)
Standard edge detectors such as Canny edge detector use a local gradient operator to find the ridges in digital images. In this study we show that peer groups and neighbor groups, a new measure introduced in this paper, can be used to improve the performance of gradient operators. Some of the pixels near the threshold are weaker edge pixels of the objects(More)
Standard edge detectors such as Canny edge detector use a local gradient operator to find the ridges in digital images. In this study we show that peer groups and simple variance calculations can be used to improve the performance of gradient operators. Some of the pixels near the threshold are weaker edge pixels of the objects in the image and others are(More)