Over the past decades there have been a considerable research effort on the subject of adaptive observers. In simple terms, an adaptive observer or estimator can be defined as a process that provides in real time the ...
This demonstration showcases the use of reconfigurable logic to implement edge computing for IoT devices able to provide specific information from raw data produced from some sensor, e.g. a camera or microphone, inste...
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• We will present an experimental paradigm and protocol to develop a Bayesian hierarchical framework that models human visuoauditory-driven saccade generation.
• We will present an experimental paradigm and protocol to develop a Bayesian hierarchical framework that models human visuoauditory-driven saccade generation.
The main purpose of this paper is not to present a new camera calibration algorithm or a new pose estimation method, but just to analyse the stability of the camera pose estimation using the Haralick observation which...
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In this paper a feature extraction and classification methodology for a laser based detection and tracking of moving objects (DATMO) system in indoors environments is presented. The sensory perception is based in a SI...
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This paper addresses the important problem of detecting and tracking vehicles in outdoor dynamic scenes as part of a real-time traffic surveillance system. The proposed solution is based on a dual-stage approach, usin...
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In recent years,cross-modal hash retrieval has become a popular research field because of its advantages of high efficiency and low ***-modal retrieval technology can be applied to search engines,crossmodalmedical pro...
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In recent years,cross-modal hash retrieval has become a popular research field because of its advantages of high efficiency and low ***-modal retrieval technology can be applied to search engines,crossmodalmedical processing,*** existing main method is to use amulti-label matching paradigm to finish the retrieval ***,such methods do not use fine-grained information in the multi-modal data,which may lead to suboptimal *** avoid cross-modal matching turning into label matching,this paper proposes an end-to-end fine-grained cross-modal hash retrieval method,which can focus more on the fine-grained semantic information of multi-modal ***,the method refines the image features and no longer uses multiple labels to represent text features but uses BERT for ***,this method uses the inference capabilities of the transformer encoder to generate global fine-grained ***,in order to better judge the effect of the fine-grained model,this paper uses the datasets in the image text matching field instead of the traditional label-matching *** article experiment on Microsoft COCO(MS-COCO)and Flickr30K datasets and compare it with the previous *** experimental results show that this method can obtain more advanced results in the cross-modal hash retrieval field.
This paper presents a integrated solution to track multiple non-rigid objects (pedestrians) in a multiple cameras system with ground-plane trajectory prediction and occlusion modelling. The resulting system is able to...
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We address the problem of building a mosaic from uncalibrated images. The key issue in this problem is the registration of the images, i.e., the estimation of the parameters describing the global motion of the brightn...
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ISBN:
(纸本)0780385780
We address the problem of building a mosaic from uncalibrated images. The key issue in this problem is the registration of the images, i.e., the estimation of the parameters describing the global motion of the brightness pattern between them. Current approaches to global motion estimation avoid preprocessing steps, e.g., feature detection and matching, by inferring the motion parameters directly from the image intensities, through the minimization of the sum of the square error over a fixed window. This window is usually chosen as a large rectangle within the region where it is expected that the original images overlap. Although this leads to good results when the images to register have a large overlap, it often fails when the images exhibit only a small overlap, due to the requirement of choosing a priori a very small window. To overcome this limitation, we propose in this paper an adaptive window.
This paper analyzes the comfort of wheelchair users when a sliding-mode trajectory-tracking controller is used. The transmission of the horizontal (fore-and-aft) vibration to the head-neck complex (HNC) in the seated ...
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ISBN:
(纸本)9789898111319
This paper analyzes the comfort of wheelchair users when a sliding-mode trajectory-tracking controller is used. The transmission of the horizontal (fore-and-aft) vibration to the head-neck complex (HNC) in the seated human body may cause unacceptable discomfort and motion sickness. A double-inverted pendulum model with two degrees of freedom is considered as a model for the HNC. The user comfort is examined not only in the time domain (using the fourth power vibration dose value), but also in the frequency domain (using the cross-spectral density method). For measuring the acceleration of the wheelchair, along the trajectory, an inertial measurement unit was used.
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