Special Issue "Activity Detection and Novel Sensing Technologies"

Guest Editor
Prof. Dr. Li Zhuo
University Strategic Development and Planning Office, Beijing University of Technology, Beijing 100022, China
E-Mail: zhuoli@bjut.edu.cn
Interests: wireless multimedia sensor networks'; mobile Intelligence; multimedia analysis and multimedia communication

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

Submission

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Please visit the Instructions for Authors page before submitting a manuscript. For the first couple of issues the Article Processing Charge (APC) will be waived for well-prepared manuscripts. English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.

• 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

Manuscript ID: computers-26926
Type: Review
Title: A Review on Video-Based Human Activity Recognition
Authors: Shian-Ru Ke *, Hoang Le Uyen Thuc, Jenq-Neng Hwang, Jang-Hee Yoo, Kyoung-Ho Choi
Received: 29 November 2012
E-mails: srke@uw.edu, hluthuc@dut.udn.vn, hwang@uw.edu, jhy@etri.re.kr, khchoi@mokpo.ac.kr