Special Issue "Activity Detection and Novel Sensing Technologies"

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A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (15 November 2012)

Special Issue Editor

Guest Editor
Prof. Dr. Li Zhuo

University Strategic Development and Planning Office, Beijing University of Technology, Beijing 100022, China
Interests: wireless multimedia sensor networks'; mobile Intelligence; multimedia analysis and multimedia communication

Special Issue Information

Dear Colleagues,

In recent years, various novel sensing technologies have increasingly emerged. Depending on the type, a sensor may capture different types of signals, such as light, sound, temperature, acceleration, and magnetic field, which reflect the status of the environments. By analyzing various information from different sensors, it is possible to continuously track and monitor the object’s activities in large, complex areas, such as buildings, airports, highways, rail networks, and so on. Using these sensing technologies, the precision and accuracy of the activity detection will be greatly improved. The special issue is intended for collecting the newest original high-quality research results in all aspects regarding novel sensing technologies for activity detection, including protocols, architectures, systems, platforms, algorithms, modeling and simulation as well.

Prof. Dr. Li Zhuo
Guest Editor

Keywords

  • object activity detection, tracking and recognition based on multi-sensors
  • data collection, statistics, analysis and fusion
  • new sensing modeling and simulation
  • new sensing platforms, protocols, architectures, and systems
  • novel sensing technologies and their applications in activity detection

Published Papers (1 paper)

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Review

Open AccessReview A Review on Video-Based Human Activity Recognition
Computers 2013, 2(2), 88-131; doi:10.3390/computers2020088
Received: 29 November 2012 / Revised: 21 February 2013 / Accepted: 30 April 2013 / Published: 5 June 2013
Cited by 37 | PDF Full-text (1295 KB) | HTML Full-text | XML Full-text
Abstract
This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications from low-level to high-level representation. In the core technology, three critical [...] Read more.
This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications from low-level to high-level representation. In the core technology, three critical processing stages are thoroughly discussed mainly: human object segmentation, feature extraction and representation, activity detection and classification algorithms. In the human activity recognition systems, three main types are mentioned, including single person activity recognition, multiple people interaction and crowd behavior, and abnormal activity recognition. Finally the domains of applications are discussed in detail, specifically, on surveillance environments, entertainment environments and healthcare systems. Our survey, which aims to provide a comprehensive state-of-the-art review of the field, also addresses several challenges associated with these systems and applications. Moreover, in this survey, various applications are discussed in great detail, specifically, a survey on the applications in healthcare monitoring systems. Full article
(This article belongs to the Special Issue Activity Detection and Novel Sensing Technologies)

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