Please use this identifier to cite or link to this item:
|Title:||Real time detection and recognition of human profiles using inexpensive desktop cameras||Authors:||Kumar, P.
|Issue Date:||2000||Citation:||Kumar, P.,Sengupta, K.,Ranganath, S. (2000). Real time detection and recognition of human profiles using inexpensive desktop cameras. Proceedings - International Conference on Pattern Recognition 15 (1) : 1096-1099. ScholarBank@NUS Repository.||Abstract:||In this paper, we present a real time system for detecting people and interpreting some of their postures. The system runs reliably on different people and under different lighting conditions. It uses an inexpensive PC desk-top camera to acquire color monocular video sequences. Two fundamental problems of such a CCD camera for background-foreground segmentation are analyzed and a solution to them has been proposed. The system locates humans by extracting their profile using a physics based approach, which is robust in presence of noise. Next it uses a pattern recognition algorithm to detect and interpret the posture of a human. The system can be used for Peripheral User Interface (PUI), in pervasive computing applications, surveillance, monitoring people activities in an indoor environment, Visual Computer games, Smart screen savers etc. We have already used this system for several real-world interactive video game applications. © 2000 IEEE.||Source Title:||Proceedings - International Conference on Pattern Recognition||URI:||http://scholarbank.nus.edu.sg/handle/10635/81056||ISSN:||10514651|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 21, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.