A novel 3D video trajectory tracking method

Author

Cheng, Zeng ; Cao, Jia Heng ; Peng, Zhi Yong ; Yong, Zhang

Author_Institution

State Key Lab. of Software Eng., Wuhan Univ., China

fYear

2004

fDate

14-16 Sept. 2004

Firstpage

221

Lastpage

226

Abstract

In this paper an automatic trajectory tracking method is presented which combines with nodes in 3D space to structure object trajectory. The nodes are extracted frequently from two analogue cameras. A 3D orientation model is brought forward to ascertain the orientation of object centroid and predict the probabilistic location some time ahead. A 3D trajectory model is used to log object motion information, recognize object behavior pattern and classify object trajectories based on the concept of deputy object. The method is efficient in many domains, such as especial video guard against theft, video surveillance for objects in air, etc.

Keywords

cameras; feature extraction; image classification; image sequences; motion estimation; object detection; stereo image processing; surveillance; target tracking; video signal processing; 3D orientation model; 3D space; 3D video trajectory tracking; analogue cameras; automatic trajectory tracking; deputy object; especial video guard; node extraction; object behavior pattern recognition; object centroid orientation; object motion information; object trajectory classification; object trajectory structuring; probabilistic location prediction; theft; video surveillance; Cameras; Eyes; Motion estimation; Object detection; Pattern recognition; Predictive models; Space technology; Target recognition; Target tracking; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology, 2004. CIT '04. The Fourth International Conference on

Print_ISBN

0-7695-2216-5

Type

conf

DOI

10.1109/CIT.2004.1357200

Filename

1357200