The Scientific World Journal

Machine Learning in Intelligent Video and Automated Monitoring


Publishing date
20 Jun 2014
Status
Published
Submission deadline
11 Apr 2014

Lead Editor
Guest Editors

1East China University of Science and Technology, Shanghai, China

2School of Science, Information Technology, and Engineering, University of Ballarat, Mt Helen, Ballarat, VIC 3350 Australia

3Department of Mathematics, University of Alabama, Tuscaloosa, AL 35487, USA


Machine Learning in Intelligent Video and Automated Monitoring

Description

The primal goal of this special issue is to organize excellent research results to track and identify objects, analyze motion, and extract video intelligence from analog or digital video streams automatically. At the same time, we focus on the efficiency of video surveillance systems and concentrate mainly on the machine learning methods which can be used to analyze video and control the machine automatically. Its aim is to unify the machine learning techniques as an integral concept that highlights the trends in advanced video intelligence and automated monitoring. We are soliciting papers that present recent results as well as more speculative presentations that discuss research challenges, define new applications, and propose methodologies for evaluating the roadmap for achieving the vision of intelligent video and automated monitoring.

The primal topic covers machine learning methods in intelligent video and automated monitoring. Potential topics include, but are not limited to:

  • Objects recognition in image and video with machine learning
  • Data mining in image and video automated analysis
  • Optimization models in image and video compression and sensing
  • Image and video automated acquisition with machine learning methods
  • Image and video storage retrieval
  • Applications of intelligent video and automated monitoring

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/computer.science/autm/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 570145
  • - Editorial

Machine Learning in Intelligent Video and Automated Monitoring

Yu-Bo Yuan | Gao Yang David | Shan Zhao
  • Special Issue
  • - Volume 2015
  • - Article ID 350676
  • - Research Article

Fast Image Search with Locality-Sensitive Hashing and Homogeneous Kernels Map

Jun-yi Li | Jian-hua Li
  • Special Issue
  • - Volume 2014
  • - Article ID 875879
  • - Research Article

An Efficient Algorithm for Recognition of Human Actions

Yaser Daanial Khan | Nabeel Sabir Khan | ... | M. Khalid Mahmood
  • Special Issue
  • - Volume 2014
  • - Article ID 402185
  • - Research Article

Part-Based Visual Tracking via Online Weighted P-N Learning

Heng Fan | Jinhai Xiang | ... | Honghong Liao
  • Special Issue
  • - Volume 2014
  • - Article ID 196415
  • - Research Article

Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle

Joko Hariyono | Van-Dung Hoang | Kang-Hyun Jo
  • Special Issue
  • - Volume 2014
  • - Article ID 460973
  • - Research Article

Estimating Body Related Soft Biometric Traits in Video Frames

Olasimbo Ayodeji Arigbabu | Sharifah Mumtazah Syed Ahmad | ... | Fahad Layth Malallah
  • Special Issue
  • - Volume 2014
  • - Article ID 632575
  • - Research Article

Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes

Xing Hu | Shiqiang Hu | ... | Lingkun Luo
  • Special Issue
  • - Volume 2014
  • - Article ID 267872
  • - Research Article

Real-Time Hand Gesture Recognition Using Finger Segmentation

Zhi-hua Chen | Jung-Tae Kim | ... | Yu-Bo Yuan
  • Special Issue
  • - Volume 2014
  • - Article ID 404375
  • - Research Article

A DAG Scheduling Scheme on Heterogeneous Computing Systems Using Tuple-Based Chemical Reaction Optimization

Yuyi Jiang | Zhiqing Shao | Yi Guo
  • Special Issue
  • - Volume 2014
  • - Article ID 753860
  • - Research Article

Obscenity Detection Using Haar-Like Features and Gentle Adaboost Classifier

Rashed Mustafa | Yang Min | Dingju Zhu
The Scientific World Journal
 Journal metrics
Acceptance rate23%
Submission to final decision56 days
Acceptance to publication59 days
CiteScore1.430
Impact Factor-
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