Mathematical Problems in Engineering

Pattern Recognition: Recent Advances and Applications


Publishing date
12 Jan 2018
Status
Published
Submission deadline
25 Aug 2017

Lead Editor

1Center for Scientific Research and Higher Education (CICESE), Ensenada, Mexico

2Gwangju Institute of Science and Technology, Gwangju, Republic of Korea

3National Polytechnic Institute (CITEDI), Tijuana, Mexico

4Google, San Francisco, USA


Pattern Recognition: Recent Advances and Applications

Description

Research in pattern recognition has exponentially increased in the past decades due to the improvement in both quality and resolution of imaging sensors and the dramatic increase in computational power. This increase has also been accompanied by smoothing the boundaries between different applications of pattern recognition, making it really interdisciplinary. The objective of this special issue is to invite original research contributions that address the broad challenges faced in pattern recognition. We look for recent advances in mathematical methods of pattern recognition as well as new applications in many scientific fields, ranging from science and engineering to economics and social activities.

We solicit articles in all fields of pattern recognition for solving various engineering problems including mathematical methods of object detection, localization and tracking, adaptive methods of pattern recognition, template and descriptor-based matching, video analysis and understanding, motion estimation, action recognition, deep learning techniques, and fast algorithms of pattern recognition. We believe the special issue will offer a timely collection of research updates to benefit the researchers and practitioners working in the broad computer vision and pattern recognition communities.

Potential topics include but are not limited to the following:

  • Mathematical models and theory of pattern recognition
  • Statistical, syntactic, and structural pattern recognition
  • Advances in 2D/3D object detection and recognition
  • Template and descriptor-based matching algorithms
  • Automatic detection, recognition, and identification of target
  • Occlusion and shadow detection
  • Motion, tracking, and video analysis
  • Deformable object tracking
  • Deep learning techniques
  • Highlight detection, action recognition, and event detection
  • Document processing and recognition
  • Applications and clinical studies

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 8510319
  • - Editorial

Pattern Recognition: Recent Advances and Applications

Vitaly Kober | Tae Choi | ... | Pablo Aguilar-González
  • Special Issue
  • - Volume 2018
  • - Article ID 3758102
  • - Research Article

LUIFT: LUminance Invariant Feature Transform

Julia Diaz-Escobar | Vitaly Kober | Jose A. Gonzalez-Fraga
  • Special Issue
  • - Volume 2018
  • - Article ID 7086965
  • - Research Article

ANACONJ Analyzer of the Conjunction AND in Spanish Using Syntactic Patterns and Semantic Frames

Alma Delia Cuevas Rasgado
  • Special Issue
  • - Volume 2018
  • - Article ID 8284123
  • - Research Article

Reliable Recognition of Partially Occluded Objects with Correlation Filters

Alexey Ruchay | Vitaly Kober | Jose A. Gonzalez-Fraga
  • Special Issue
  • - Volume 2018
  • - Article ID 6323942
  • - Research Article

Learning Multimodal Deep Representations for Crowd Anomaly Event Detection

Shaonian Huang | Dongjun Huang | Xinmin Zhou
  • Special Issue
  • - Volume 2018
  • - Article ID 2404089
  • - Research Article

Modified Dynamic Time Warping Based on Direction Similarity for Fast Gesture Recognition

Hyo-Rim Choi | TaeYong Kim
  • Special Issue
  • - Volume 2017
  • - Article ID 6329864
  • - Research Article

Convolutional Shallow Features for Performance Improvement of Histogram of Oriented Gradients in Visual Object Tracking

Suryo Adhi Wibowo | Hansoo Lee | ... | Sungshin Kim
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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