Name
Title | ||
|---|---|---|
Joint wavelet video denoising and motion activity detection in multimodal human activity analysis: application to video-assisted bioacoustic/psychophysiological monitoring |
Abstract | ||
|---|---|---|
The current work focuses on the design and implementation of an indoor surveillance application for long-term automated analysis of human activity, in a video-assisted biomedical monitoring system. Video processing is necessary to overcome noise-related problems, caused by suboptimal video capturing conditions, due to poor lighting or even complete darkness during overnight recordings. Modified wavelet-domain spatiotemporal Wiener filtering and motion-detection algorithms are employed to facilitate video enhancement, motion-activity-based indexing and summarization. Structural aspects for validation of the motion detection results are also used. The proposed system has been already deployed in monitoring of long-term abdominal sounds, for surveillance automation, motion-artefacts detection and connection with other psychophysiological parameters. However, it can be used to any video-assisted biomedical monitoring or other surveillance application with similar demands. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1155/2008/792028 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
Motion Detection, Video Processing, Complete Darkness, Surveillance Application, Poor Lighting | Automatic summarization,Computer vision,Video processing,Video capture,Motion detection,Computer science,Image processing,Automation,Artificial intelligence,Video denoising,Wavelet | Journal |
Volume | Issue | ISSN |
2008, | 1 | 1687-6180 |
Citations | PageRank | References |
14 | 0.69 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charalampos Dimoulas | 1 | 104 | 12.35 |
| Konstantinos Avdelidis | 2 | 20 | 1.66 |
| G. Kalliris | 3 | 277 | 14.72 |
| George Papanikolaou | 4 | 80 | 7.07 |