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Adaptive Model-Based Multi-person Tracking.
- Source :
- Computational & Information Science; 2004, p1201-1207, 7p
- Publication Year :
- 2004
-
Abstract
- This paper proposes a method for tracking and identifying persons from video image frames taken by a fixed camera. The majority of conventional video tracking surveillance systems assumes a likeness to a person's appearance for some time, and existing human tracking systems usually consider short-term situations. To address this situation, we use an adaptive background and human body model updated statistically frame-by-frame to correctly construct a person with body parts. The formed person is labeled and recorded in a person's list, which stores the individual's human body model details. Such recorded information can be used to identify tracked persons. The results of this experiment are demonstrated in several indoor situations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540241270
- Database :
- Supplemental Index
- Journal :
- Computational & Information Science
- Publication Type :
- Book
- Accession number :
- 32716673