2010 IEEE Southwest Symposium on Image Analysis and Interpretation

Format:

Book

Author/Creator:

IEEE Southwest Symposium on Image Analysis and Interpretation, author.

Contributor:

ieee, Contributor.

Language:

English

Subjects (All):

Image analysis--Congresses.

Image analysis.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] IEEE 2010

Language Note:

English

Summary:

This paper presents a method, the snake particle filter (SPF), for tracking targets in video sequences. Manual or semi-automated solutions are both expensive and susceptible to error. In the SPF algorithm, automated tracking is accomplished by combining the particle filter with the snake. Here we employ the snake to establish the target shape, which is used to assign the weight for each particle in the particle filter. The snake provides a likelihood measure in the flexible particle filter framework that accommodates non-linear, non-Gaussian systems. Our results show that the SPF algorithm has an associated low RMSE value of approximately five pixels in the sequences tested for this study.

Notes:

Bibliographic Level Mode of Issuance: Monograph

ISBN:

9781424478026

1424478022