Human posture recognition : methodology and implementation

• Main Authors: Htike, Kyaw Kyaw, Khalifa, Othman Omran, Lai, Weng Kin
• Format: Book Chapter
• Language: English
• Published: IIUM Press 2011
• Subjects: TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
• Online Access: http://irep.iium.edu.my/21628/1/Chapter_5.pdf; http://irep.iium.edu.my/21628/; http://rms.research.iium.edu.my/bookstore/default.aspx
• Institution: Universiti Islam Antarabangsa Malaysia

Human Posture Recognition is a key component of many application-oriented computer vision systems, for instance in automated visual surveillance, automotive safety, computer interaction and multimedia processing. Human tracking is an important part at 3 automated video surveillance system. It is used to track any previously detected human to the mapping or prediction purpose or simply for behavioural analysis. High detection r and low false alarm rates are essential for achieving robustness in higher level vision tas such as tracking or activity recognition