Human action recognition with MPEG-7 descriptors and architectures

Authors:
Zia Moghaddam;Massimo Piccardi
Affiliations:
University of Technology, Sydney (UTS), Sydney , Australia;University of Technology, Sydney (UTS), Sydney, Australia
Venue:
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Year:
2010

Citing 14
Cited 0

Real-time Human Motion Analysis by Image Skeletonization

WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Unsupervised Learning of Human Motion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Action at a Distance

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Actions as Space-Time Shapes

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Object tracking: A survey

ACM Computing Surveys (CSUR)
Human action recognition using star skeleton

Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
A Prototype of Autonomous Intelligent Surveillance Cameras

AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
A survey of advances in vision-based human motion capture and analysis

Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Evaluation of MPEG7 color descriptors for visual surveillance retrieval

ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Deterministic Initialization of Hidden Markov Models for Human Action Recognition

DICTA '09 Proceedings of the 2009 Digital Image Computing: Techniques and Applications
An efficient Bayesian framework for on-line action recognition

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
The MPEG-7 visual standard for content description-an overview

IEEE Transactions on Circuits and Systems for Video Technology
MPEG-7 visual shape descriptors

IEEE Transactions on Circuits and Systems for Video Technology
MPEG-7 visual motion descriptors

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Modern video surveillance requires addressing high-level concepts such as humans' actions and activities. In addition, surveillance applications need to be portable over a variety of platforms, from servers to mobile devices. In this paper, we explore the potential of the MPEG-7 standard to provide interfaces, descriptors, and architectures for human action recognition from surveillance cameras. Two novel MPEG-7 descriptors, symbolic and feature-based, are presented alongside two different architectures, server-intensive and client-intensive. The descriptors and architectures are evaluated in the paper by way of a scenario analysis.