Moving targets detection using sequential importance sampling

Author

Qian, Gang ; Chellappa, Rama

Author_Institution

Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA

Volume

3

fYear

2001

fDate

2001

Firstpage

1537

Abstract

We present a new technique for detecting moving targets from image sequences captured by moving sensors. Feature points are detected and tracked through the image sequences. A validity vector is used to describe the consistency of the feature trajectories with sensor motion. By using the sequential importance sampling method, an approximation to the posterior distribution of the sensor motion and the validity vector is derived and the feature points belonging to the moving target are then segmented out. Real image examples are included

Keywords

Bayes methods; feature extraction; image motion analysis; image sampling; image sequences; importance sampling; object detection; target tracking; Bayesian moving targets detection; feature points detection; feature points tracking; feature trajectories; image sequences; moving targets detection; posterior distribution approximation; sensor motion; sequential importance sampling; validity vector; video surveillance applications; Acoustic noise; Automation; Cameras; Laboratories; Layout; Monte Carlo methods; Motion detection; Object detection; Sampling methods; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941225

Filename

941225