Enhancing motion trajectories in noisy video sequences

An approach for enhancing motion trajectories in video sequences is presented. The proposed approach is applied to projections of image data of video sequences and consists of six enhancement steps. The basic idea is to correlate the positive and the negative derivative part with respect to time to...

Full description

Saved in:
Bibliographic Details
Main Authors: Klaser, A., Stankovic, S., Herpers, R.
Format: Conference Proceeding
Language:English
Subjects:
Equations
Filters
Kernel
Motion analysis
Noise reduction
Shape
Video sequences
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An approach for enhancing motion trajectories in video sequences is presented. The proposed approach is applied to projections of image data of video sequences and consists of six enhancement steps. The basic idea is to correlate the positive and the negative derivative part with respect to time to the projected image sequence. Both parts are aligned at their correlation maxima and they are element-wise multiplicated to suppress noise. Morphological operators are used to obtain a one pixel wide motion trajectory.
DOI:10.1109/ISSPIT.2004.1433697