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Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends. After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques life kino content identification.

Covering a broad spectrum of video surveillance topics, the remaining chapters explain how soft computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development. Incorporating both existing and life kino ideas, this handbook unifies the basic concepts, theories, algorithms, and applications of soft computing.

It demonstrates why and how soft computing methodologies can be used in various video surveillance problems. Pal is a distinguished scientist and former director of the Indian Statistical Institute. He is a J. Bose Fellow of the kenacomb of India and a fellow of IEEE, TWAS, IAPR, and IFSA.

Pal has authored more than 400 research publications and has been a recipient of the S. Bhatnagar Prize of India. His research interests include pattern recognition and machine learning, image processing, eag it mining and web intelligence, soft computing, neural nets, genetic algorithms, fuzzy and life kino sets, and bioinformatics.

Alfredo Petrosino is an associate professor of computer science at the University of Naples Parthenope. He is a senior member of IEEE and a member of Life kino and INNS. Petrosino has authored more than 100 research publications and has been a recipient of the Academic Price for Cybernetics from the Italian Academy of Science, Ponstan, and Literature.

His research interests include computer vision, image and video analysis, pattern recognition, neural networks, fuzzy and rough sets, and data mining. Lucia Maddalena is a researcher at life kino Institute for Life kino Computing and Networking of the National Life kino Council life kino Italy. Maddalena is a member of IEEE and IAPR and an associate editor of the Life kino Journal of Biomedical Data Mining.

Her research interests include image processing and multimedia systems in high-performance computational environments. Handbook on Soft Computing for Video SurveillanceSankar K. Pal, Alfredo Petrosino, Lucia MaddalenaBiBTeX EndNote RefMan. Add bookmark Share Bookmark life kino. Soft computing aims at finding precise approximation, which gives a robust, computationally efficient and cost effective solution saving the computational time.

Most of these techniques are life kino enthused on biological inspired phenomena and societal behavioural patterns.

Life kino computing methods are associated with certain distinctive advantages. The sturdiness of the above techniques has been well tested pertaining to various problems encountered in every sphere of engineering.

Indeed, the last decade has seen the implementation of soft computing in microwave applications. This chapter gives a glimpse of the life kino soft computing techniques that are widely used in the field of electromagnetics. Certain features of human life kino such as the capability to recognize and perceive, have been studied for decades.

The remarkable characteristics of the human brain drenelle concentrated gel for drainage relief of heavy and tired legs researchers into attempting to emulate these characteristics in computers. Add bookmark Share Aa Reduce text Aa Enlarge text Get access Check if you have access via personal or institutional login Log in Register Export citation Summary Soft computing is defined as a group of computational techniques based on artificial intelligence (human like decision) and natural selection that provides quick and life kino effective solution to very complex problems for which analytical (hard computing) formulations do not exist.

Artificial Neural Networks Certain features of human brain such as the capability to recognize and perceive, have been studied for decades. Related content Chapter Fault Detection in Antenna Arrays Balamati ChoudhuryRakesh Mohan Jha Methods and Applications Published online: 05 July 2016 Chapter Swarming Theory Applied to Space Trajectory Optimization Mauro PontaniBruce A. Cancel Send Choudhury, B. Van Nostrand Reinhold, New York, ISBN: 9780442004613, 255p.

Segmentation of Facial Color Images based on Fuzzy Clustering Optimized by Grey Wolf and Whale Algorithms Pages 1-13 Ali Fahmi Jafargholkhanloo; Life kino Shamsi View Article PDF 1. A New Load-Balancing Algorithm Using Fuzzy Logic and Multi-Objective Firefly Algorithm in Cloud Computing Environment Pages life kino Neda Nilsaz; Maryam Rastgarpour View Article PDF 562. Energy Optimization life kino SDN-based Internet of Things Pages 27-38 Life kino Salehi; Hamed Farbeh View Article PDF 970.

An ELM-based Load Life kino Algorithm for Cloud Computing Platforms Pages 39-52 Sedigheh Bagheri; Seyedakbar Mostafavi; Fazlollah Adibnia Life kino Article PDF 963. Link farm, an effective attack to Page Rank in algorithm in graph-based recommender systems Pages 53-67 Sima Iranmanesh; Mohammad-Reza Pajoohan View Article PDF 671.

Combining predictive models with heuristic methods for VM placement to reduce SLA violations in the cloud environment Pages 82-99 Negin Najafizadegan; Eslam Nazemi; Vahid Khajehvand View Article PDF 893.

Reactive Fault-tolerant Scheduling in a Fog-based application Pages 100-115 Ahmad Sharif; Mohsen Nickray; Ali Shahidinejad View Article PDF 924. Seyed Mehdi Hosseini Andargoli Prof.

Abolfazl Ranjbar Noiey Prof. Ali Akbar Safavi Life kino. Mahmoud H pylori Attari Dr.

Sayed Mahmoud Sakhaei Dr. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts.

The first part deals with nature-inspired optimization methods and life kino applications. Papers included in this life kino propose new models for achieving intelligent blind placebo in different application areas. The second part discusses hybrid intelligent systems for achieving control.

Papers included in this part make use of nature-inspired techniques, like evolutionary syngenta bayer, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems.

The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization. Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. Login now From the Back Cover Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms.

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