Sudden event recognition: A survey

Nor Surayahani Suriani, Aini Hussain, Mohd Asyraf Zulkifley

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Event recognition is one of the most active research areas in video surveillance fields. Advancement in event recognition systems mainly aims to provide convenience, safety and an efficient lifestyle for humanity. A precise, accurate and robust approach is necessary to enable event recognition systems to respond to sudden changes in various uncontrolled environments, such as the case of an emergency, physical threat and a fire or bomb alert. The performance of sudden event recognition systems depends heavily on the accuracy of low level processing, like detection, recognition, tracking and machine learning algorithms. This survey aims to detect and characterize a sudden event, which is a subset of an abnormal event in several video surveillance applications. This paper discusses the following in detail: (1) the importance of a sudden event over a general anomalous event; (2) frameworks used in sudden event recognition; (3) the requirements and comparative studies of a sudden event recognition system and (4) various decision-making approaches for sudden event recognition. The advantages and drawbacks of using 3D images from multiple cameras for real-time application are also discussed. The paper concludes with suggestions for future research directions in sudden event recognition.

Original languageEnglish
Pages (from-to)9966-9998
Number of pages33
JournalSensors (Switzerland)
Volume13
Issue number8
DOIs
Publication statusPublished - Aug 2013

Fingerprint

Learning algorithms
Learning systems
Fires
Decision making
Cameras
Processing
learning
surveillance
Bombs
Surveys and Questionnaires
Recognition (Psychology)
machine learning
Life Style
Decision Making
emergencies
decision making
Emergencies
set theory
suggestion
Safety

Keywords

  • Foreground detection
  • Motion pattern
  • Object recognition
  • Object tracking
  • Sudden event recognition
  • Video surveillance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Analytical Chemistry
  • Biochemistry

Cite this

Sudden event recognition : A survey. / Suriani, Nor Surayahani; Hussain, Aini; Zulkifley, Mohd Asyraf.

In: Sensors (Switzerland), Vol. 13, No. 8, 08.2013, p. 9966-9998.

Research output: Contribution to journalArticle

Suriani, Nor Surayahani ; Hussain, Aini ; Zulkifley, Mohd Asyraf. / Sudden event recognition : A survey. In: Sensors (Switzerland). 2013 ; Vol. 13, No. 8. pp. 9966-9998.
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