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REAL TIME IMPLEMENTATION OF OBJECT TRACKING THROUGH WEBCAM
2014
International Journal of Research in Engineering and Technology
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We introduce object detection and tracking approach that combines Prewitt edge detection and kalman filter. ...
The target object's representation and the location prediction are the two major aspects for object tracking this can be achieved by using these algorithms. ...
Prewitt operator provides 2 masks one for detecting edges in horizontal direction and another for detecting edges in an vertical direction. ...
doi:10.15623/ijret.2014.0313025
fatcat:lj7emaacyrcppjiylhp5qnrecy
Quantum Image Processing
[article]
2022
arXiv
pre-print
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The nature of visual information, algorithm complexity, and the representation of 3D scenes in 2D spaces are all popular research topics. ...
In quantum image processing, quantum image representation plays a key role, which substantively determines the kinds of processing tasks and how well they can be performed. ...
The Laplacian is generally used to found whether a pixel is on the dark or light side of an edge. 4) Canny edge detection [17] : This is the most commonly used highly effective and complex compared to ...
arXiv:2203.01831v1
fatcat:vuwhkinfnzfzvjjnch723hejyy
Hough Parameter Space Regularisation for Line Detection in 3D
2016
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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When it is used for finding lines in a 3D-space, an appropriate line representation and quantisation of the parameter space is necessary. ...
The new method is applied to the detection of ridges and straight edges in laser scan data of buildings, where it performs better than a straightforward quantisation. ...
ACKNOWLEDGEMENTS We are grateful to the Katasteramt Krefeld for providing us with the laser scan data from Geobasisdaten der Kommunen und des Landes NRW c Geobasis NRW 2014. ...
doi:10.5220/0005679003450352
dblp:conf/visapp/JeltschDP16
fatcat:xaxtxj73zng47ovciqyjmpof6q
Algorithm for Image Retrieval Based on Edge Gradient Orientation Statistical Code
2014
The Scientific World Journal
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Image edge gradient direction not only contains important information of the shape, but also has a simple, lower complexity characteristic. ...
the edge gradient direction. ...
The value of largely depends on complexity of the edge. ...
doi:10.1155/2014/705763
pmid:24892074
pmcid:PMC4032690
fatcat:ot5vrqonjjbmra4rm6na6hkrxq
Automated Road Extraction From High Resolution Satellite Images
2016
Procedia Technology - Elsevier
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In this method, a Vectorization Approach for the automatic method of road extraction is being used where the image is segmented to identify the road network regions followed by a decision making and continuity ...
In the automatic method of road extraction the extracted roads are converted into road vectors in order to use these vector road maps in GIS. ...
Also the eigen vector corresponding to minimum eigen value gives the direction of road. ...
doi:10.1016/j.protcy.2016.05.180
fatcat:sgexlsghyngzrolnwweez7b3li
An Improved Medical Decision Support System to Identify the Breast Cancer Using Mammogram
2010
Journal of medical systems
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Our proposed technique detects the boundaries of objects in noisy images using the information from the intensity gradient via the vector image model and the texture gradient via the edge map. we discuss ...
This paper introduces the new technique of detection using the information of intensity and texture of an image. ...
Section II and III describes the boundary detection using vector image model and edge map. ...
doi:10.1007/s10916-010-9448-5
pmid:20703746
fatcat:igklhpjlg5ghfdx47ryxpb4jgi
Gradient feature extraction for classification-based face detection
2003
Pattern Recognition
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Face detection from cluttered images is challenging due to the wide variability of face appearances and the complexity of image backgrounds. ...
The gradient direction representation provides better discrimination ability than the image intensity, and we show that the combination of gradient directionality and intensity outperforms the gradient ...
Unlike that feature-based detection methods use edges as structural primitives, we measure the gradient directions numerically and store in a feature vector for classiÿcation. ...
doi:10.1016/s0031-3203(03)00130-4
fatcat:pzpeyyje6nhhrhtrlado3zz3km
V2V: Vector Embedding of a Graph and Applications
2018
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
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We evaluate embeddings produced by V2V through comparing results obtained using V2V with results obtained through a direct application of a graph algorithm, for community detection. ...
We evaluate embeddings produced by V2V through comparing results obtained using V2V with results obtained through a direct application of a graph algorithm, for community detection. ...
Community detection is a key analysis task in understanding the structure of complex networks. ...
doi:10.1109/ipdpsw.2018.00182
dblp:conf/ipps/NguyenT18
fatcat:5ipfrsafqfautk3amd7nmhly2q
Text detection in images using sparse representation with discriminative dictionaries
2010
Image and Vision Computing
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In this paper, we propose a classification-based algorithm for text detection using a sparse representation with discriminative dictionaries. ...
First, the edges are detected by the wavelet transform and scanned into patches by a sliding window. ...
[27] : it detects texts by using a complex-valued multilayer feed-forward network trained to detect text at a fixed scale and position; Fig. 10 . ...
doi:10.1016/j.imavis.2010.04.002
fatcat:z7ndqrbqpjejvo2ysogcnt6zau
MINC-NRL: An Information-Based Approach for Community Detection
2022
Algorithms
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MINC-NRL introduces network representation learning (NRL) to represent the target network as vectors, then generates a community evolution process based on these vectors to reduce the search space, and ...
A community structure is a reflection of the local characteristics existing in the network topology, this makes community detection become an important research field to reveal the internal structural ...
in the process; FN uses a greedy technique to merge small communities to large ones, following the direction that raises the value of modularity. ...
doi:10.3390/a15010020
fatcat:cnyffysixfbvxm4tjm4krmeucy
A Study of 3D CAD Model and Feature Analysis for Casting Object
2012
International Journal of Engineering and Technology Innovation
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Fourier Descriptor used to present the pose estimation of images on CCW and CW direction. ...
In this paper, shape representation model using feature vector and Fourier descriptor were presented on the 3D CAD model image with the aim to gain the shape feature analysis for casting object. ...
Edge Detection According to Hong and Asher in [5] , edge detection is an essential tool used to obtain information from the frames as a The edge detection images produced in this process is shown in Fig ...
doaj:edf0ed4a909e4df68b9451494978adb7
fatcat:tjrpwndywfaghcfx62fbtwip2e
Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection
2015
Mathematical Problems in Engineering
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Then we applied the proposed method to the quaternion vectors to perform the edge detection of color remote sensing image. ...
Experimental results show that our method can get a better edge detection effect than other methods. ...
If the two vectors 1 , 2 are of the same color pixel, 3 will be a gray pixel vector, which means the direction coincides with the direction of the rotation axis . ...
doi:10.1155/2015/138930
fatcat:x2kvxcrvwjc3rdv6vbevaspb24
In Situ Wireless Channel Visualization Using Augmented Reality and Ray Tracing
2020
Sensors
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The proposed system performs a special type of spatial mapping, capable of converting a scanned indoor environment to a vector facet model. ...
This article presents a novel methodology for predicting wireless signal propagation using ray-tracing algorithms, and visualizing signal variations in situ by leveraging Augmented Reality (AR) tools. ...
values used, σ = sqrt (2) is the standard deviation of the Gaussian filter and is a scalar, and EM is a binary matrix with 1 s representing the points where an edge is detected. ...
doi:10.3390/s20030690
pmid:32012704
pmcid:PMC7038403
fatcat:vuwsbhw4hvcp7idvshampafc6a
The gop parallel image processor
[chapter]
1981
Lecture Notes in Computer Science
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It can work on gray scale or color images of any size, where it uses a combination of local and global processing which makes it possible to detect faint lines or edges. ...
The processor can be used for classification and segmentation using simultaneously up to 16 different transforms or representations of an image. ...
The complex value computed for a local region has two components:
I. A magnitude reflecting the amount of variation within the window, e.g. step size of an edge. 2. ...
doi:10.1007/3-540-10705-3_6
fatcat:7unwph37hnanfoir7kmiaizyzy
Application of Wavelet Transform to Radio Fuze Jamming Identification
2008
2008 4th International Conference on Wireless Communications, Networking and Mobile Computing
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But using real or complex range profiles as feature vectors has a big disadvantage, which has been explained in Section III. ...
The range profile used in this paper is in the absolute value form, obtained after incoherent detection, not in the real value form as in [7] . ...
doi:10.1109/wicom.2008.423
fatcat:qw26smvu6jbi3krmdnkinladoa
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