An algorithm for single-pixel detection and tracking

Author

Xiong, Yan ; PENG, JIA-XIONG ; Li, Qiang

Author_Institution

Inst. of Image Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

1994

fDate

13-16 Apr 1994

Firstpage

61

Abstract

The paper presents a new method for detection and tracking of pixel-sized moving targets from a time sequence. It uses the pipeline continuity filter for preprocessing, and then tracks the target trajectories in the two projection planes x-t and y-t by a tree-searching algorithm. Experiments show the advantage of this method for the detection and tracking of arbitrary target trajectories in high noise environments without some constraints that most other algorithms require for similar tasks

Keywords

array signal processing; filtering and prediction theory; image sequences; infrared imaging; motion estimation; parallel algorithms; parameter estimation; pipeline processing; search problems; signal detection; tracking; trees (mathematics); high noise environments; pipeline continuity filter; pixel-sized moving targets; preprocessing; single-pixel detection; target trajectories; time sequence; tracking; tree-searching algorithm; Filling; Filtering; Filters; Image sequences; Noise reduction; Object detection; Pipelines; Pixel; Target tracking; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344965

Filename

344965