Name
Abstract | ||
|---|---|---|
In this paper we developed a system for automated human body tracking and modeling based on a monocular camera. In this system, eleven joint points including head, shoulder, hip, elbows, knees, hands and feet are extracted separately to build a 2D human body model. The head is extracted by analyzing negative minimum curvature (NMC) points on a parameterized silhouette. The torso, along with its angle and size, is determined by integrating multiple frame information with connectivity constraint. Hands and feet can be identified correctly based on a modified star skeleton approach and the nearest-neighbor tracking mechanism. The rest of joint points can also be located by taking advantage of the connectivity constraints. A successful construction of the proposed human body modeling will pave a critical foundation for further intelligent analysis in many applications, such as automated video surveillance system or systematic video understanding. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICASSP.2007.366058 | 2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS |
Keywords | Field | DocType |
human body modeling, negative minimum points, intelligent analysis | Human-body model,Torso,Computer vision,Human body modeling,Parameterized complexity,Curvature,Pattern recognition,Silhouette,Computer science,Feature extraction,Video tracking,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
1520-6149 | 5 | 0.48 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-Chang Yu | 1 | 32 | 8.93 |
| Jenq-Neng Hwang | 2 | 1675 | 206.57 |
| Gang-Feng Ho | 3 | 5 | 1.16 |
| Chaur-Heh Hsieh | 4 | 354 | 46.89 |