Abstract
High definition (HD) camera is widely used in surveillance systems. An HD camera with optical zoom is useful for monitoring a large area. However, it is inconvenient for a user to manually control the optical zoom for a long time. To exploit the functionality and extend the application domains of a HD camera, the zooming should be controlled automatically. An automatic zooming mechanism is proposed in this paper. When an object moves through the field of view (FOV) of the camera, the zoom is controlled for capturing the object as clear as possible. In order to achieve the above goal, a Gaussian Mixture Model (GMM), temporal image differencing, a CamShift tracking method, and a Kalman filter are utilized for object detection and tracking. Then, an adaptive neuro-fuzzy inference system (ANFIS) is used to learn and determine a suitable value for adjusting the zoom. According to the experimental study of the prototype, the results show that the proposed mechanism is useful to capture the clear images of moving objects in a practical environment.
| Original language | English |
|---|---|
| Title of host publication | 18th International Conference on Advanced Communications Technology |
| Subtitle of host publication | "Information and Communications for Safe and Secure Life!", ICACT 2016 - Proceeding |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 441-446 |
| Number of pages | 6 |
| ISBN (Electronic) | 9788996865063 |
| DOIs | |
| Publication status | Published - 2016 Mar 1 |
| Event | 18th International Conference on Advanced Communications Technology, ICACT 2016 - Pyeongchang, Korea, Republic of Duration: 2016 Jan 31 → 2016 Feb 3 |
Publication series
| Name | International Conference on Advanced Communication Technology, ICACT |
|---|---|
| Volume | 2016-March |
| ISSN (Print) | 1738-9445 |
Other
| Other | 18th International Conference on Advanced Communications Technology, ICACT 2016 |
|---|---|
| Country | Korea, Republic of |
| City | Pyeongchang |
| Period | 16-01-31 → 16-02-03 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
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Automatic zooming mechanism for capturing object image using high definition fixed camera. / Liao, Hsien Chou; Chen, Po Yueh; Lin, Zi Jun; Lim, Zi Yi.
18th International Conference on Advanced Communications Technology: "Information and Communications for Safe and Secure Life!", ICACT 2016 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2016. p. 441-446 7423424 (International Conference on Advanced Communication Technology, ICACT; Vol. 2016-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Automatic zooming mechanism for capturing object image using high definition fixed camera
AU - Liao, Hsien Chou
AU - Chen, Po Yueh
AU - Lin, Zi Jun
AU - Lim, Zi Yi
PY - 2016/3/1
Y1 - 2016/3/1
N2 - High definition (HD) camera is widely used in surveillance systems. An HD camera with optical zoom is useful for monitoring a large area. However, it is inconvenient for a user to manually control the optical zoom for a long time. To exploit the functionality and extend the application domains of a HD camera, the zooming should be controlled automatically. An automatic zooming mechanism is proposed in this paper. When an object moves through the field of view (FOV) of the camera, the zoom is controlled for capturing the object as clear as possible. In order to achieve the above goal, a Gaussian Mixture Model (GMM), temporal image differencing, a CamShift tracking method, and a Kalman filter are utilized for object detection and tracking. Then, an adaptive neuro-fuzzy inference system (ANFIS) is used to learn and determine a suitable value for adjusting the zoom. According to the experimental study of the prototype, the results show that the proposed mechanism is useful to capture the clear images of moving objects in a practical environment.
AB - High definition (HD) camera is widely used in surveillance systems. An HD camera with optical zoom is useful for monitoring a large area. However, it is inconvenient for a user to manually control the optical zoom for a long time. To exploit the functionality and extend the application domains of a HD camera, the zooming should be controlled automatically. An automatic zooming mechanism is proposed in this paper. When an object moves through the field of view (FOV) of the camera, the zoom is controlled for capturing the object as clear as possible. In order to achieve the above goal, a Gaussian Mixture Model (GMM), temporal image differencing, a CamShift tracking method, and a Kalman filter are utilized for object detection and tracking. Then, an adaptive neuro-fuzzy inference system (ANFIS) is used to learn and determine a suitable value for adjusting the zoom. According to the experimental study of the prototype, the results show that the proposed mechanism is useful to capture the clear images of moving objects in a practical environment.
UR - http://www.scopus.com/inward/record.url?scp=84962803635&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962803635&partnerID=8YFLogxK
U2 - 10.1109/ICACT.2016.7423424
DO - 10.1109/ICACT.2016.7423424
M3 - Conference contribution
AN - SCOPUS:84962803635
T3 - International Conference on Advanced Communication Technology, ICACT
SP - 441
EP - 446
BT - 18th International Conference on Advanced Communications Technology
PB - Institute of Electrical and Electronics Engineers Inc.
ER -