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The rapid growth in real-time edge computing requires sustained advances in energy-efficient, yet progressively higher performance embedded systems. An example application is computing aboard unmanned aerial vehicles (UAVs) engaged in surveillance, rescue and recovery missions. Video Summarization (VS) [7] refers to a class of key algorithms in the UAV-computing context. A basic function within such...
The advances of mobile computing and sensor technology have turned the mobile devices into powerful instruments. The integration of thermal and visual cameras extends the capability of computer vision, due to the fact that both images reveal different characteristics in images, however, image alignment is a challenge. This paper proposes an effective approach to align image pairs for event detection...
It is estimated that less than five percent of videos are currently analyzed to any degree. In addition to petabyte-sized multimedia archives, continuing innovations in optics, imaging sensors, camera arrays, (aerial) platforms, and storage technologies indicates that for the foreseeable future existing and new applications will continue to generate enormous volumes of video imagery. Contextual video...
In this paper, we propose a hierarchical computational system architecture to support the target domain of realtime mobile computing in the context of unmanned aerial vehicles (UAVs). The overall architectural vision includes support for system resilience in the presence of uncertainties in the operational environment of surveillance UAVs. We report measurement-based results that are obtained from...
The goal of image stitching is to create natural-looking mosaics free of artifacts that may occur due to relative camera motion, illumination changes, and optical aberrations. In this paper, we propose a novel stitching method, that uses a smooth stitching field over the entire target image, while accounting for all the local transformation variations. Computing the warp is fully automated and uses...
A predominant fraction of UAV videos are never watched or analyzed and there is growing interest in having a summary view of the UAV videos for obtaining a better overall perspective of the visual content. Real time summarization of the UAV video events is also important from tactical perspective. Our research focuses on developing resilient algorithms for summarizing videos that can be efficiently...
A fully integrated 1.8 GHz CMOS power amplifier is presented in this paper. The proposed power amplifier consists of a three-stage cascade structure comprising a driver stage, a pre-distortion stage, and a power stage. The pre-distortion stage involves the use of two diode connected MOSFETs as a non-linearity generator to expand the 1dB compression point (P1dB) and enhance the power added efficiency...
This paper proposes a RF front-end switched beamforming transmitter for application in LTE small cell base stations. The four element phased array circuit includes passive RC ninety degrees phase shifters, switches and pre-distortion power amplifiers. Each power amplifier can deliver an output power of 23 dBm and a power gain of 26 dB. The proposed transmitter has eight distinct beam directions by...
The proposed mixer was fabricated in TSMC 1P6M 0.18 um CMOS process. This mixer is intended for application in LTE small cell base station. The circuit architecture is based on the Gilbert mixer. The folded technique allowed the bias current of the trans-conductance stage and that of the switching stage to be different. A new type of inverter amplifier with enhanced derivative superposition method...
Recent work has successfully built the object classifier for object detection. Most approaches operate with a pre-defined class and require a model to be trained in advance. In this paper, we present a system with a novel approach for multi-vehicle detection and tracking by using a monocular camera on a moving platform. This approach requires no camera-intrinsic parameters or camera-motion parameters,...
This paper proposes a new ego-motion estimation and background/foreground classification method to effectively segment moving objects from videos captured by a moving camera on a moving platform. Existing methods for moving-camera detecting impose serious constraints. In our approach, ellipsoid scene shape is applied in the motion model and a complicated ego-motion estimation formula is derived. Genetic...
This study focuses on the system dynamics and the state-of-charge (SOC) evaluation of a lithium battery module. The analysis and comparison of the differences between the linear model and the nonlinear model are carried out. Using AC impedance approach, the mathematical model can be established via a surveyed equivalent circuit. The linear model is thus constructed. With the nonlinear behavior investigated...
This paper proposes a Markov Chain Monte Carlo based feature-guided particle filtering algorithm to track moving objects observed from a camera on a moving platform. Sudden camera or object motion is the typical problem that causes tracking performance sharply deteriorate. It is inadequate to use classical recursive Bayesian estimation to track moving objects observed by a rapid-moving and unstable...
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