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Corrigendum to “Road detection algorithm for Autonomous Navigation systems based on dark channel prior and vanishing point in complex road scenes” [Robot. Auton. Syst. 85 (2016) 1–11]

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Robotics and Autonomous systems 2017年 88卷 202-202页

作者： Yong Li Weili Ding Xuguang Zhang Zhaojie Ju Laboratory of Pattern Recognition and Intelligent Systems Key Laboratory of Industrial Computer Control Engineering of Hebei Province Department of Automation Institute of Electrical Engineering Yanshan University Qinghuangdao Hebei 066004 China College of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China School of Computing University of Portsmouth PO1 3HE UK

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A novel center line extraction algorithm on structured light strip based on anisotropic heat diffusion

Advances in Intelligent Systems and Computing

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Advances in intelligent systems and Computing 2015年 363卷 295-302页

作者： Lin, Xin-Tang Wang, Zong-Yi Ji, Yu Pattern Recognition and Intelligent Systems Laboratory College of Automation Harbin Engineering University Harbin150001 China Harbin XiRobot Co. Ltd Harbin150060 China

There are problems needed to be solved when extracting centerline of structured light strip on multi-pass seam. The problems include complex shape, non-uniform intensity distribution, disconnected caused by welding beans or occlusion and environmental noise etc. To solve these problems, a novel centerline extraction algorithm is proposed based on anisotropic heat diffusion. Putting pixels gray values as the temperature, the algorithm could get centerline composed by highest energy pixels, through heat diffusion along same temperature curve normal directions. The higher accuracy and efficiency of our algorithm is proved by experiments. © Springer International Publishing Switzerland 2015.

关键词： Pixels

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Deceived bilateral filter for improving the classification of football players from TV broadcast 3

Deceived bilateral filter for improving the classification o...

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3rd IEEE International Work-Conference on Bioinspired Intelligence, IWOBI 2014

作者： Ramírez, Saúl Calderón Canales, Francisco Siles PRIS-LAB: Pattern Recognition and Intelligent Systems Laboratory School of Electrical Engineering Faculty of Engineering Universidad de Costa Rica San José Costa Rica

ISBN: (纸本)9781479961740

This paper presents a novel image abstraction tech- nique, the deceived bilateral filter (DBF). The DBF combines border sharpening with simplification of homogeneous regions to achieve moderate de-blurring and colour emphasis. The aim of the DBF is to remove noise of colour and shape descriptors (histograms and contours) of the blobs corresponding to football players. The experiment implemented for this paper consists in an unsupervised histogram based classification of the blobs based on the team of the football players aiming to evaluate histogram denoising. The results show an average classification success rate improvement of 11%. © 2014 IEEE.

关键词： Image enhancement

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Erratum to: A Robust Tracking System for Low Frame Rate Video

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International Journal of Computer Vision 2015年第3期115卷 305-305页

作者： Xiaoqin Zhang Weiming Hu Nianhua Xie Hujun Bao Stephen Maybank Institute of Intelligent System and Decision Wenzhou University Zhejiang China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Department of Computer Science Zhejiang University Zhejiang China Department of Computer Science and Information Systems Birkbeck College London UK

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Temporal segmentation of association football from TV broadcasting

Temporal segmentation of association football from TV broadc...

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17th IEEE International Conference on intelligent Engineering systems, INES 2013

作者： Siles, Francisco Pattern Recognition and Intelligent Systems Laboratory School of Electrical Engineering Universidad de Costa Rica San José Costa Rica

ISBN: (纸本)9781479908288

This paper presents the first module of our system Ace for the automated interpretation of association football games. This module is in charge of the temporal segmentation of the input broadcasting TV video into scenes. The temporal segmentation is based on a new devised dissimilarity measure using the Bhattacharyya distance of the hue and local spatial variance histograms, to incorporate chromatic and structural properties of the images. Great results of extended experiments conducted on the last FIFA's World Cup are presented. © 2013 IEEE.

关键词： Image segmentation

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A new graph-based image segmentation algorithm

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International Conference on Informatics and Management Science, IMS 2012

作者： Zhang, Qian Feng, Fujian Xin, Lin Wang, Lin Pattern Recognition and Intelligent Systems Laboratory of Guizhou Guiyang Guizhou China Academic Affairs Office Guizhou University for Nationalities Guiyang Guizhou China

ISBN: (纸本)9781447147954

Based on graph theory, we choose two-dimensional Gaussian as a dynamic adaptive index for weighting function, difference function Dex for inter-area and Din for one area were defined by structural similarity index (SSIM), the function determines different area to be merged or segmented is achieved. The algorithm was implemented on Mat lab successfully. Experimental results show that the algorithm the segmentation is better than others in effect and calculate time. © 2013 Springer-Verlag.

关键词： Image segmentation

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Detection of dynamic overlays for association football from TV broadcasting

Detection of dynamic overlays for association football from ...

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14th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2013

作者： Siles, Ing. Francisco PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory School of Electrical Engineering Universidad de Costa Rica San José Costa Rica

ISBN: (纸本)9781479901975

This paper presents a new dissimilarity measure for the detection of dynamic overlays in football games from TV broadcasting. The detection of the dynamic overlays is used for finding the replays in the input video, that are to be removed for further processing. The replays' detection and removal is part of the first module of the system ACE-Football for the automated interpretation of association football games, which is being developed at the PRIS-lab. Positive results of experiments conducted on several games of the latest FIFA's World Cup are presented. © 2013 IEEE.

关键词： Sports

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RETRACTED ARTICLE: Improved cuckoo search algorithm using dimensional entropy gain

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Neural Computing and Applications 2014年第3期26卷 745-745页

作者： Qian Zhang Lin Wang Jun Cheng Renlong Pan Pattern Recognition and Intelligent Systems Key Laboratory of Guizhou Guiyang China School of Computer Science and Engineering of Guizhou Minzu University Guiyang China

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Temporal Segmentation of Association Football from TV Broadcasting

Temporal Segmentation of Association Football from TV Broadc...

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IEEE International Conference on intelligent Engineering systems

作者： Francisco Siles PRIS-LAB: Pattern Recognition and Intelligent Systems Laboratory School of Electrical Engineering Faculty of Engineering Universidad de Costa Rica

ISBN: (纸本)9781479908271

This paper presents the first module of our system ACE for the automated interpretation of association football games. This module is in charge of the temporal segmentation of the input broadcasting TV video into scenes. The temporal segmentation is based on a new devised dissimilarity measure using the Bhattacharyya distance of the hue and local spatial variance histograms, to incorporate chromatic and structural properties of the images. Great results of extended experiments conducted on the last FIFA's World Cup are presented.

关键词： television broadcasting Footballs segmentation Segmentation color tones Structural properties

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Fitting a functional structural plant model based on global sensitivity analysis

Fitting a functional structural plant model based on global ...

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2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012

作者： Lin, Yubin Kang, Mengzhen Hua, Jing National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467304283

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysis method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs. © 2012 IEEE.

关键词： Sensitivity analysis

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