Abstract
In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The proposed scheme needs no manual parameter settings for different illumination conditions, which makes the algorithm applicable to automatic surveillance systems. Two special filters are designed to eliminate the spurious object regions that occur due to the CCD noise, making the scheme stable even in very low illumination conditions. We demonstrate the effectiveness of the proposed algorithm experimentally with different illumination conditions, change of contrast, and noise level.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SPIE-IS and T Electronic Imaging - Image Processing |
| Subtitle of host publication | Machine Vision Applications III |
| DOIs | |
| Publication status | Published - 2010 May 14 |
| Event | Image Processing: Machine Vision Applications III - San Jose, CA, United States Duration: 2010 Jan 19 → 2010 Jan 21 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 7538 |
| ISSN (Print) | 0277-786X |
Other
| Other | Image Processing: Machine Vision Applications III |
|---|---|
| Country | United States |
| City | San Jose, CA |
| Period | 10/1/19 → 10/1/21 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
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Motion detection with level set-based segmentation. / Lee, Suk Ho; Choi, Nam Seok; Kang, Moon Gi.
Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Machine Vision Applications III. 2010. 75380O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7538).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Motion detection with level set-based segmentation
AU - Lee, Suk Ho
AU - Choi, Nam Seok
AU - Kang, Moon Gi
PY - 2010/5/14
Y1 - 2010/5/14
N2 - In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The proposed scheme needs no manual parameter settings for different illumination conditions, which makes the algorithm applicable to automatic surveillance systems. Two special filters are designed to eliminate the spurious object regions that occur due to the CCD noise, making the scheme stable even in very low illumination conditions. We demonstrate the effectiveness of the proposed algorithm experimentally with different illumination conditions, change of contrast, and noise level.
AB - In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The proposed scheme needs no manual parameter settings for different illumination conditions, which makes the algorithm applicable to automatic surveillance systems. Two special filters are designed to eliminate the spurious object regions that occur due to the CCD noise, making the scheme stable even in very low illumination conditions. We demonstrate the effectiveness of the proposed algorithm experimentally with different illumination conditions, change of contrast, and noise level.
UR - http://www.scopus.com/inward/record.url?scp=77952038200&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952038200&partnerID=8YFLogxK
U2 - 10.1117/12.839159
DO - 10.1117/12.839159
M3 - Conference contribution
AN - SCOPUS:77952038200
SN - 9780819479310
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Image Processing
ER -