Dynamic tracking system for object recognition

Authors:
Zalili Binti Musa;Junzo Watada
Affiliations:
Graduate School of Information, Production and System, Waseda University, Kitakyushu, Fukuoka, Japan;Graduate School of Information, Production and System, Waseda University, Kitakyushu, Fukuoka, Japan
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Year:
2007

Citing 4
Cited 1

An Efficient Vehicle Queue Detection System Based on Image Processing

ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Human Tracking using Floor Sensors based on the Markov Chain Monte Carlo Method

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Dynamic Appearance Modeling for Human Tracking

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Real Time Limb Tracking with Adaptive Model Selection

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04

Motion Tracking Using Particle Filter

KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

The aim of this study is to construct a multi-camera tracking system which recognizes human motions beyond several video scenes. Generally, to recognize a single human motion is easier than to link several human motions. This is because several human motions move different directions, while a single human motion moves one direction in a certain period. Therefore, we need a system that is reliable to track of human motions in every frame. In this paper, a new method is proposed for a human tracking system in order to link human movements in different directions using foot step direction method. The detail outcome and result are discussed using experiments of the method in this paper.