@inproceedings{36e49f43a8f84cc993f4a2c3485ff813,
title = "Dynamic tracking system for object recognition",
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.",
keywords = "Biometric, Human tracking system, Location detection, Pattern recognition, Tracking system",
author = "Musa, {Zalili Binti} and Junzo Watada",
year = "2007",
language = "English",
isbn = "9783540748281",
volume = "4694 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 3",
pages = "378--385",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
edition = "PART 3",
note = "11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 ; Conference date: 12-09-2007 Through 14-09-2007",
}