2016 IEEE Congress on Evolutionary Computation

Vancouver, Canada, 25-29 July, 2016

Special Session on Evolutionary Computer Vision

Overview

Computer vision is a major unsolved problem in computer science and engineering. Over the last decade there has been increasing interest in using evolutionary computation approaches to solve vision problems. Computer vision provides a range of problems of varying difficulty for the development and testing of evolutionary algorithms. There have been a relatively large number of papers in evolutionary computer vision in recent CEC and GECCO conferences. It would be beneficial to researchers to have these papers in a special session. Also, a special session would encourage more researchers to continue to work in this field and consider CEC a place for presenting their work.

Scope and Topics

The proposed special session aims to bring together theories and applications of evolutionary computation to computer vision and image processing problems. Topics of interest include, but are not limited to:

New theories and methods in different EC paradigms to computer vision and image processing including

• Evolutionary algorithms such as Genetic algorithms, genetic programming, evolutionary strategy and evolutionary programming;

• Swarm Intelligence such as particle swarm optimisation, ant colony optimisation, and differential evolution; and

• Other approaches such as learning classifier systems, harmony search, and artificial immune systems. Cross-fertilization of evolutionary computation and other techniques such as neural networks and fuzzy systems is also encouraged.

Applications in computer vision and image processing including

• Edge detection in noisy images

• Image segmentation in biological images

• Automatic feature extraction, construction and selection in complex images

• Object identification and scene analysis for medical applications

• Object detection and classification in security scenarios

• Handwritten digit recognition and detection

• Vehicle plate detection

• Face detection and recognition

• Texture image analysis

• Automatic target recognition in military services

• Gesture identification and recognition

• Robot vision

Important Dates:

• Paper Submission Deadline: 15 Jan 2016

• Notification of Acceptance: 15 Mar 2016

  Final Paper Submission Deadline: 15 Apr 2016

Paper Submission:

You should follow the IEEE CEC 2016 Submission Web Site. Special session papers are treated the same as regular conference papers. All papers accepted and presented at CEC 2016 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI.

Special Session Organizers:

Mengjie Zhang

School of Engineering and Computer Science, Victoria University of Wellington,

PO Box 600, Wellington, New Zealand. Phone: +64-4-463 5654; Fax: +64-4-463 5045. ( web page)

Vic Ciesielski

School of Computer Science and Information Technology, RMIT University, City Campus,

GPO 2476V, VIC, Australia. Phone: +61-3-9925-2926; Fax: +61-3-9662-1617. ( web page)

Mario Koeppen

Graduate School of Creative Informatics, Kyushu Institute of Technology, 680-4, Kawazu, Iizuka,

Fukuoka 820-8502 JAPAN. Phone: +81 948 29 7626; Fax: +81 948 29 7601. ( web page)

Program Committee (to be confirmed):

• Bir Bhanu (University of California at Riverside, USA)

• Stefano Cagnoni (University of Parma, Italy)

• Vic Ciesielski (RMIT University, Australia)

• Oscar Cordón (European Centre for Soft Computing, Spain)

• Sergio Damas (European Centre for Soft Computing, Spain)

• Marc Ebner (University of Tübingen, Germany)

• Mark Johnston (Victoria University of Wellington, NZ)

• Mario Koeppen (Kyushu Institute of Technology, Japan)

• Krisztof Krawiec (Poznan University of Technology, Poland)

• Jing Liu (Xidian University, China)

• Evelyne Lutton (INRIA, France)

• Kourosh Neshatian (Victoria University of Wellington)

• Gustavo Olague (CICESE, Mexico)

• Andy Song (RMIT University, Australia)

• Jingxuan Wei (Xidian University, China)

• Yubin Yang (Nanjing University, China)

• Mengjie Zhang (Victoria University of Wellington, NZ)

The IEEE CEC 2016 Web site can be seen from here.

This page was last updated on 10 August 2015.