ELCVIA

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ELCVIA	5 registres trobats	La cerca s'ha fet en 0.01 segons.

17 p, 592.5 KB

How to separate between Machine-Printed/Handwritten and Arabic/Latin Words? / Kacem Echi, Afef (University of Tunis) ; Saïdani, Asma (University of Tunis) ; Belaïd, Abdel (University of Lorraine)
This paper gathers some contributions to script and its nature identification. Different sets of features have been employed successfully for discriminating between handwritten and machine-printed Arabic and Latin scripts. [...]
2014 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.572
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 1 (2014) , p. 1-16

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15 p, 17.3 MB

Autonomous UAV for suspicious action detection using pictorial human pose estimation and classification / Penmetsa, Surya (National Institute of Technology. Department of Electronics and Communication Engineering (Warangal, India)) ; Minhuj, Fatima (National Institute of Technology. Department of Electronics and Communication Engineering (Warangal, India)) ; Singh, Amarjot (Simon Fraser University. School of Engineering Science (Burnaby, Canadà)) ; Omkar, S. N. (Indian Institute of Science. Department of Aerospace Engineering (Bangalore, India))
Visual autonomous systems capable of monitoring crowded areas and alerting the authorities in occurrence of a suspicious action can play a vital role in controlling crime rate. Previous atte mpts have been made to monitor crime using posture recognition but nothing exclusive to investigating actions of people in large populated area has been cited. [...]
2014 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.582
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 1 (2014) , p. 18-32

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17 p, 898.6 KB

Automated classification of cricket pitch frames in cricket video / Bananki Jayanth, Sandesh (PESIT Bangalore South Campus. Department of Information Science and Engineering) ; Srinivasa, Gowri (PESIT Bangalore South Campus. Department of Information Science and Engineering)
The automated detection of the cricket pitch in a video recording of a cricket match is a fundamental step in content-based indexing and summarization of cricket videos. In this paper, we propose visualcontent based algorithms to automate the extraction of video frames with the cricket pitch in focus. [...]
2014 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.570
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 1 (2014) , p. 33-49

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18 p, 3.6 MB

A Novel interest-point-based background subtraction algorithm / Dehghani, Alireza (Dublin City University. School of Computing) ; Sutherland, Alistair (Dublin City University. School of Computing)
Current Background Subtraction (BGS) algorithms are mostly pixel-based methods. We propose an Interest-Point(IP)-based BGS algorithm applicable in IP-based Computer Vision applications. Based on a block-wise processing strategy, the frames are divided into blocks of the same size. [...]
2014 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.632
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 1 (2014) , p. 50-67

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21 p, 1.5 MB

Enhanced rotational feature points matching using orientation correction / Meng Goh, Kam (Universiti Teknologi Malaysia. Department of Electronics and Computer Engineering) ; Rahman Abu-Bakar, Syed Abd. (Universiti Teknologi Malaysia. Department of Electronics and Computer Engineering) ; Mokji, Musa Mohd. (Universiti Teknologi Malaysia. Department of Electronics and Computer Engineering) ; Sheikh, Usman U. (Universiti Teknologi Malaysia. Department of Electronics and Computer Engineering)
In matching between images, several techniques have been developed particularly for estimating orientation assignment in order to make feature points invariant to rotation. However, imperfect estimation of the orientation assignment may lead to feature mismatching and a low number of correctly matched points. [...]
2014 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.554
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 1 (2014) , p. 68-88

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