164 research outputs found
A Comparison of Different Approaches to Nonlinear Shift Estimation for Object Tracking
No full textThis paper presents a corner based voting method for estimating the object shift in video image frames. Information about the corners distribution around a reference point is used to represent the object shape and then to find the most probable target position in the next frame. Tracking is done through using a voting space obtained by matching corners information. A motion vector for the reference point is nonlinearly estimated with three different strategies by using the global information of the matched corners. The results show a comparison between three considered strategies for estimating the object shift
Compressed sensing based jammer detection algorithm for wide-band cognitive radio networks
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2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015
16 November 2015, Article number 7330276, Pages 119-123
3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015; Pisa; Italy; 17 June 2015 through 19 June 2015; Category numberCFP1571Z-ART; Code 118216
Compressed sensing based jammer detection algorithm for wide-band cognitive radio networks (Conference Paper)
Mughal, M.O. , Dabcevic, K., Marcenaro, L., Regazzoni, C.S.
Department of Electrical, Electronic Telecommunications Engineering and Naval Architecture - DITEN, University of Genova, Italy
View references (23)
Abstract
This paper proposes a new algorithm for jammer detection in wide-band (WB) cognitive radio networks. We consider a WB which comprises of multiple fixed length narrow-band sub-bands (SB). These SBs are occupied by narrow-band signals which can be legitimate users or a jammer. To reduce the overhead of the analog-to-digital conversion (ADC), compressed sensing (CS) is performed first. CS allows us to estimate a WB spectrum with sub-Nyquist rate sampling. After that, energy detection is applied to identify the occupied sub-bands (SB). Then, for each occupied SB, some waveform parameters such as signal bandwidth and power spectral density (PSD) levels are compared with licit user database to classify the observed signal as a licit user or a jammer. In the end, performance of the proposed algorithm is shown with the help of monte carlo simulations under different empirical setup
A Distributed Extended Kalman Filtering network for estimation and tracking of multiple objects
No full textThe author presents a strategy for tracking areas occupied by many objects moving in a scene and monitored by means of image sequences. The proposed strategy can be used to solve the problems of crowding estimation and localisation of groups of people in underground stations
Properties of binary statistical morphology
No full textThe properties and applications of a class of statistical morphological operators, i.e. binary statistical morphology (BSM) operators, for binary image processing are described. The proposed operators are based on quantization of the output of a statistical morphological operator, modeled as a binary probabilistic hypothesis-testing step. The operator obtained is shown to be equivalent to a rank-order filter. Relationships are established between the quantization threshold, rank of the equivalent rank-order filter and parameters of the model. It is also shown that basic BSM operators, i.e. binary statistical dilation and binary statistical erosion can be used as the basis for defining more complex filters. In this paper, attention is paid to describe specific properties of BSM operators which are useful for different applications, e.g. shape description. © 1996 IEEE
Sparse shapes prototype modeling using genetic algorithms
No full textThe process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very different sets of corners from frame to frame and a proper comparison of point features can be very difficult. Evaluating a multi-objective fitness function in a discrete voting space, partial similarities between deformable objects can be found and a correct data association can be performed. A genomic encoding of corner-based shapes is introduced and, taking advantage of a robust genetic-based search algorithm, sets of corners pertaining to objects of interest are mapped into common models. The most representative features are detected and used to evolve shape prototypes
A Nonlinear-Shift Approach to Object Tracking Based on Shape Information
No full textThis paper presents a corner-based method for tracking objects in video image frames. The method uses a vectorial shape representation based on relative object main corners positions and a non-linear voting method to evaluating the new object position at each iteration. The initialization consists of individuating an area including the object to be tracked. Information of the corners distribution around a reference point is used to find the most probable target position in the next frame. The method can be used in both fixed and mobile cameras both for vehicles and pedestrians
Il problema della penale «irrisoria» nella prospettiva delle clausole di esonero da responsabilità
No full textIl commento esamina criticamente gli orientamenti in merito al sindacato giudiziale sulle clausole penali di ammontare «irrisorio», individuandone il fondamento (anche in esito ad un confronto con l’ordinamento francese) in un’applicazione diretta alla clausola penale dell’art. 1229 c.c., qualora l’importo pattuito risulti notevolmente inferiore all’entità del danno prevedibile. Si analizzano inoltre gli effetti che la previsione di nullità ex art. 1229 può sortire in questa fattispecie, con lo scopo di salvaguardare le utilità derivanti dalla penale in favore del creditore.The author critically examines the various theses about the judicial review of an «extremely modest» penalty clause. After a comparison with the French legal system, the author argues that such review is allowed by the direct application of Art. 1229 of the Civil Code to the penalty clause, where the agreed amount is significantly lower than the foreseeable damage. Furthermore, an analysis is drawn of the effects that the provision of nullity under Art. 1229 may have in such a case, with the aim of maintaining the benefits granted by the penalty to the creditor
El relato de la violencia en Argentina: "Oración" de María Moreno
No full textThe aim of the present study is to examine Maria Moreno’s book Oración. Carta a Vicki y otras elegías (2018). It is a work of difficult generic definition that narrates the years of the Argentine dictatorship (1976 -1983) through the death of Victoria Walsh and the disappearance of his father Rodolfo Walsh. It belongs, in some way, to the broad and diversified narrative of ‘post memory’. Beyond the historical and political data, the author expands and focuses her reflection on the meaning of motherhood and fatherhood of activists in subversive groups, and the consequences of this condition in the dictatorship of the National Reorganization Process. The initial investiga- tion, the link between a father and a daughter and the scene of their death, opens up new and old questions, such as aesthetic value, the search for truth and its representation, the place and the voice of women, mothers and daughters
Grouped-People Splitting Based on Face Detection and Body Proportion Constraints
No full textThis paper presents a method based on skin colormodel face detection and human body proportion constraints to estimate the number and position of people entering the monitored scene as a compact group. This helps to split the group into individual persons and solve a common lack in traditional background subtraction based detection and tracking methods: despite common systems, this algorithm can recognize the number and position of the people in a single change detection blob. The hypotheses are: standing subjects, face visibility from the point of view of the camera, a calibrated map to estimate objects¿ distance from the sensor and to estimate expected people¿s height on the image plane. These estimations allow dynamic thresholding of several shape parameters and lead to very interesting results
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