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In this work, the device structure of the mesa-type GaAs:Te blocked-impurity-band detector was designed. The fabrication processes were presented briefly, and optimization of the fabrication processes was investigated. A 3-micron-thick SiO2 film was deposited as resist to substitute for photoresist in the 50-micron-deep mesa etching process. In addition, a bi-layer photoresist lithography technique...
An open question in facial landmark localization in video is whether one should perform tracking or tracking-by-detection (i.e. face alignment). Tracking produces fittings of high accuracy but is prone to drifting. Tracking-by-detection is drift-free but results in low accuracy fittings. To provide a solution to this problem, we describe the very first, to the best of our knowledge, synergistic approach...
A parking system is of great significance for an intelligent transportation in smart cities. This paper presents a novel parking system designed for smart cities with the technology Internet of things. To ensure its openness, reliability and networking accessibility, the parking system adopts a framework of Internet of things and cloud computing. The framework is divided into four levels: parking...
Many human activities involve object manipulations aiming to modify the object state. Examples of common state changes include full/empty bottle, open/closed door, and attached/detached car wheel. In this work, we seek to automatically discover the states of objects and the associated manipulation actions. Given a set of videos for a particular task, we propose a joint model that learns to identify...
Jaya optimization algorithm (JOA) based multiuser detector over generalized-K (GK) fading channels, in the presence of impulsive noise, is presented in this paper to eliminate multiple access interference (MAI) problem. The JOA is used to implement the M-decorrelator with least squares (LS), Huber (HU), Hampel (HA) and modified Hampel (MH) estimators by minimizing the corresponding penalty functions...
This paper proposes a detailed evaluation of the impact of digital filters when applied to the Neutrinos Angra Experiment. The signals coming out from its front-end electronics are digitized and then sent to an FPGA where further processing might be carried out. In this context, this work proposes a set of peak amplitude estimators optimized to have minimum variance. Constrained optimization technique...
The effect of pyroelectric polarization was investigated with respect to electron sources and X-ray applications. Different pyroelectric Lithium Tantalate (LiTaO3) crystals were used. Main focus was the optimization of electron emission efficiency in dependence of geometrical parameters, temperature curves and vacuum pressures. The presented results and experimental experiences provide a basis for...
In this paper, a self-learning approach is proposed towards solving scene-specific pedestrian detection problem without any human annotation involved. The self-learning approach is deployed as progressive steps of object discovery, object enforcement, and label propagation. In the learning procedure, object locations in each frame are treated as latent variables that are solved with a progressive...
Todays person detection methods work best when people are in common upright poses and appear reasonably well spaced out in the image. However, in many real images, thats not what people do. People often appear quite close to each other, e.g., with limbs linked or heads touching, and their poses are often not pedestrian-like. We propose an approach to detangle people in multi-person images. We formulate...
Despite the remarkable progress in recent years, detecting objects in a new context remains a challenging task. Detectors learned from a public dataset can only work with a fixed list of categories, while training from scratch usually requires a large amount of training data with detailed annotations. This work aims to explore a novel approach – learning object detectors from documentary...
SAR polarimetry (PolSAR) can play an important role in change detection both in terms of improving the detection capabilities and providing physical information regarding the change. In agricultural context, such information can be used to help retrieving the phenological stage and eventually identifying stress conditions. In this work, a new change detection based on PolSAR data is proposed. The...
The optimal receiving technique of target backscattered signal in radar polarimetry has been successfully applied in many applications. In this study, we further develop the change detector which was proposed based on the optimization of polarimetric contrast of radar received powers. The change detector used for multi-temporal polarimetric synthetic aperture radar (SAR) analysis was proposed with...
Object detection aims to identify instances of semantic objects of a certain class in images or videos. The success of state-of-the-art approaches is attributed to the significant progress of object proposal and convolutional neural networks (CNNs). Most promising detectors involve multi-task learning with an optimization objective of softmax loss and regression loss. The first is for multi-class...
The goal of tone mapping operators (TMOs) has traditionally been to display high dynamic range (HDR) pictures in a perceptually favorable way. However, when tone-mapped images are to be used for computer vision tasks such as keypoint detection, these design approaches are suboptimal. In this paper, we propose a new learning-based adaptive tone mapping framework which aims at enhancing keypoint stability...
This paper presents multiple beacon vectors based robust detection schemes for cooperative spectrum sensing (CSS) in multiple-input multiple-output (MIMO) cognitive radio (CR) networks under channel state information (CSI) uncertainty. The inaccuracies in the estimate of the CSI are modeled as the standard ellipsoidal uncertainty set. We develop a multiple beacon vector based linear discriminant framework...
To enable an intelligent traffic light system (ITLS) to consider the interactions between the signal controls and the traffic flow distribution resulting from the selfish-routing behaviors of travelers, a dynamic origin-destination (O-D) demand estimation model and a dynamic combined traffic assignment and signal control (CTA-SC) model are needed. However, the ITLS may collect inaccurate and incomplete...
Two near-optimal, low-complexity latticereduction- aided (LRA) conditional detectors are proposed for multiple-input multiple-output (MIMO) systems. The reduction is performed only on a selection of columns of the channel matrix and conditional optimization is performed on the remaining ones. In the proposed schemes, the best submatrix for conditional detection is selected by considering all possible...
3D human motion analysis from a single viewpoint is an extremely challenge computer vision task due to the lack of depth information and complex human movements. To resolve these problems, based on the quantum computing and immune clonal operator, a novel evolution algorithm, called a quantum-behaved clonal algorithm (QBCA), is proposed for 3D human motion analysis. Firstly, a 2D part-based human...
This paper introduces an efficient hardware accelerated feature extraction architecture with a high spec of 1920×1080 image resolution at 120 fps. We choose MoFREAK feature [1] to implement in our real-time action recognition system. MoFREAK is a local spatio-temporal feature, which combines the appearance and motion descriptor independently. We design a two phase architecture to balance the throughput...
The recent emergence of deep learning algorithms has radically influenced the object detection performances by providing very precise and robust approaches. However, the disadvantage of the recently proposed object detectors is that they are computationaly extremely intensive, making them unsuitable for being used in portable devices. In this paper we propose six models which optimize an existent...
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