Next Article in Journal
Wireless Sensor Network Operating System Design Rules Based on Real-World Deployment Survey
Previous Article in Journal
An Adaptive Strategy for an Optimized Collision-Free Slot Assignment in Multichannel Wireless Sensor Networks
J. Sens. Actuator Netw. 2013, 2(3), 486-508; doi:10.3390/jsan2030486

Real-Time Recognition of Action Sequences Using a Distributed Video Sensor Network

Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA
* Author to whom correspondence should be addressed.
Received: 22 April 2013 / Revised: 20 June 2013 / Accepted: 25 June 2013 / Published: 18 July 2013
View Full-Text   |   Download PDF [915 KB, uploaded 18 July 2013]   |  


In this paper, we describe how information obtained from multiple views usinga network of cameras can be effectively combined to yield a reliable and fast humanactivity recognition system. First, we present a score-based fusion technique for combininginformation from multiple cameras that can handle the arbitrary orientation of the subjectwith respect to the cameras and that does not rely on a symmetric deployment of thecameras. Second, we describe how longer, variable duration, inter-leaved action sequencescan be recognized in real-time based on multi-camera data that is continuously streaming in.Our framework does not depend on any particular feature extraction technique, and as aresult, the proposed system can easily be integrated on top of existing implementationsfor view-specific classifiers and feature descriptors. For implementation and testing of theproposed system, we have used computationally simple locality-specific motion informationextracted from the spatio-temporal shape of a human silhouette as our feature descriptor.This lends itself to an efficient distributed implementation, while maintaining a high framecapture rate. We demonstrate the robustness of our algorithms by implementing them ona portable multi-camera, video sensor network testbed and evaluating system performanceunder different camera network configurations.
Keywords: multimedia sensor network; information fusion; camera network; multi-view;score-fusion; activity recognition multimedia sensor network; information fusion; camera network; multi-view; score-fusion; activity recognition
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Kavi, R.; Kulathumani, V. Real-Time Recognition of Action Sequences Using a Distributed Video Sensor Network. J. Sens. Actuator Netw. 2013, 2, 486-508.

View more citation formats

Related Articles

Article Metrics


[Return to top]
J. Sens. Actuator Netw. EISSN 2224-2708 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert