BOOK-CHAPTER

Robust Non-rigid Object Tracking Using Point Distribution Manifolds

Tom MathesJustus Piater

Year: 2006 Lecture notes in computer science Pages: 515-524   Publisher: Springer Science+Business Media
Keywords:
Computer vision Computer science Robustness (evolution) Artificial intelligence Video tracking Object (grammar) Tracking (education) Point (geometry) Point distribution model Mathematics Geometry

Metrics

21
Cited By
1.70
FWCI (Field Weighted Citation Impact)
26
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Human Pose and Action Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Highly non-rigid video object tracking using segment-based object candidates

Cong LinChi‐Man PunGuoheng Huang

Journal:   Multimedia Tools and Applications Year: 2016 Vol: 76 (7)Pages: 9565-9586
JOURNAL ARTICLE

Non-rigid object tracking using adaptive part-based model

Xiaohui ShenJin ZhangJie ZhouGang Rong

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 2007 Vol: 6786 Pages: 67862Y-67862Y
BOOK-CHAPTER

Non-rigid Object Tracking Using Modified Mean-Shift Method

Shuqiang GuoXuenan ShiYanjiao WangXinxin Zhou

Lecture notes in electrical engineering Year: 2016 Pages: 451-458
© 2026 ScienceGate Book Chapters — All rights reserved.