Pfinder: Real-time tracking of the human body

被引：2408

作者：

Wren, CR

Azarbayejani, A

Darrell, T

Pentland, AP

机构：

[1] MIT Media Laboratory, Perceptual Computing Section, Cambridge, MA 02239

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1997年 / 19卷 / 07期

关键词：

blobs; blob tracking; real-time; person tracking; 3D person tracking; segmentation; gesture recognition; mixture model; MDL;

D O I：

10.1109/34.598236

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Pfinder is a real-time system for tracking people and interpreting their behavior. It runs at 10Hz on a standard SGI Indy computer, and has performed reliably on thousands of people in many different physical locations. The system uses a multiclass statistical model of color and shape to obtain a 2D representation of head and hands in a wide range of viewing conditions. Pfinder has been successfully used in a wide range of applications including wireless interlaces, video databases, and low-bandwidth coding.

引用

页码：780 / 785

页数：6

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