Object detection with sector scanning sonar

... Chitre, Object detection with sector scanning sonar, ” in OCEANS 2013 IEEE - San Diego, Sept 2013 11 Chapter Tools and Methodology 2.1 Sector Scanning Sonar We introduce the Micron DST sector scanning ... the ensonification of static objects using the Micron DST sector scanning sonar An experiment with STARFISH AUV xi Summary integrated with Micron DST sector...

Ngày tải lên: 01/10/2015, 17:27

... language model to perform authorship attribution, and Post (2011), which uses TSG features in a logistic regression model to perform grammaticality detection Tree Substitution Grammars Tree Substitution ... Daniel Gildea 2009 Bayesian Learning of a Tree Substitution Grammar Association for Computational Linguistics Matt Post 2011 Judging Grammaticality with Tree Substitut...

Ngày tải lên: 07/03/2014, 18:20

... i Use Case Driven Object Modeling with UML Theory and Practice Doug Rosenberg and Matt Stephens 7745fmfinal.qxd 12/13/06 9:23 PM Page ii Use Case Driven Object Modeling with UML: Theory and Practice ... and is the coauthor of Use Case Driven Object Modeling with UML (Addison-Wesley, 1999) and Applying Use Case Driven Object M...

Ngày tải lên: 15/03/2014, 02:20

... silicon islands with the STM and examined the quality of STM images of the islands Note that after the creation of islands with the STM, the accumulation of silicon atoms on the tip apex was not ... distinguish mechanisms of the early stage and late stage of island growth At the late stage, the transfer of silicon atoms from the STM tip...

Ngày tải lên: 16/03/2014, 15:32

... output response of the model On this basis, we solve the object identification problem in the form of the time series estimation problem based on measured random data of controlled object The recommended ... the time response of the object as a random data series Estimation of the object model from output response data series Suppose the controlled object has...

Ngày tải lên: 28/03/2014, 13:20

... output response of the model On this basis, we solve the object identification problem in the form of the time series estimation problem based on measured random data of controlled object The recommended ... solve the directive object identification problem generally and effectively under the random noise The optimal model of object determined by the estimation...

Ngày tải lên: 28/03/2014, 13:20

... learning for object detection In: International Conference on Computer Vision (2005) Located Hidden Random Fields: Learning Discriminative Parts 315 10 Kumar, S., Hebert, M.: Discriminative random ... vector for edge ij Hidden Random Field: a Hidden Random Field (HRF) [13] is an extension to a CRF which introduces a number of parts for each object class...

Ngày tải lên: 24/04/2014, 13:10

... essentially that of a degenerate decision tree Our object detection framework Feature Evaluation Haar Basis Functions Haar Basis Functions Integral Image Integral Image Haar Basis Functions Haar Basis ... Original Image Haar Basis Functions Haar Basis Functions In order to computing features rapidly at many scales Large # of features Cascaded Classifiers Structure Cascaded Classifie...

Ngày tải lên: 24/04/2014, 13:29

... www.it-ebooks.info 10 Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information subject to randomly occurring quantization errors (ROQEs) and randomly occurring packet ... www.it-ebooks.info Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information 1.1 Background, Motivations, and Researc...

Ngày tải lên: 24/04/2014, 15:12

... Doug Applying use case driven object modeling with UML: an annotated e-commerce example / Doug Rosenberg, Kendall Scott p cm 1 Object- oriented methods (Computer science) UML (Computer science) Use ... of use cases in a book called Applying Use Case Driven Object Modeling The reason is that when we write our use cases (see Chapter 3), we’re not going to wr...

Ngày tải lên: 29/04/2014, 14:52

... 2D Object Detection and Recognition i This Page Intentionally Left Blank Yali Amit 2D Object Detection and Recognition Models, Algorithms, and Networks The MIT Press Cambridge, ... America Library of Congress Cataloging-in-Publication Data Amit, Yali 2D object detection and recognition : models, algorithms, and networks / Yali Amit p cm Includes b...

Ngày tải lên: 31/05/2014, 23:23

... your objects border Take care of the info file before you restart this little tool, otherwise it will overwrite it without asking Florian Adolf Page of 2003-09-02 OpenCV's Rapid Object Detection ... Florian Adolf Page of 2003-09-02 OpenCV's Rapid Object Detection Step - Sample/Test Creation Assuming that a sample size of 20x20 is a good choice for most objects, samples are reduced...

Ngày tải lên: 11/06/2014, 15:49

... 24(14):2345-2356 doi:10.1186/1687-5281-2011-13 Cite this article as: Wan Zaki et al.: Moving object detection using keypoints reference model EURASIP Journal on Image and Video Processing 2011 2011:13 ... knowledge-based moving object detection in traffic scenes 2000 IEEE Proceedings of Intelligent Transportation Systems 2000 Cucchiara R, Grana C, Piccardi M, Prati A: Detect...

Ngày tải lên: 20/06/2014, 22:20

... buried object detection and imaging technique utilizing fuzzy weighted background calculation and target energy moments on ground penetrating radar data EURASIP Journal on Advances in Signal Processing ... uses fuzzy weighted sliding window background signal calculation, background removal, and calculation of target energy functions Cre...

Ngày tải lên: 21/06/2014, 00:20

... 10−5 10−6 10−7 10 Threshold 10−2 10−3 10−4 10−5 10−6 10−7 12 14 10−1 False- alarm probability 10−1 False- alarm probability False- alarm probability 10−1 (a) 10−3 10−4 10−5 10−6 10−5 10−6 10 Threshold ... Threshold 12 14 12 14 (c) 10−2 10−3 10−4 10−5 10−6 10−7 10 Threshold 10−1 False- alarm probability False- alarm probability False- alarm probability 10−2 10−4 10−7 12 14 10...

Ngày tải lên: 21/06/2014, 06:20