Abstract
In this paper, a method which estimates the trajectory of the vehicle from a single vehicle camera is proposed. The proposed method is a model based method which assumes that the vehicle is running on a planar road. The input image is converted to a Top- View image and a matching (registration) between the next Top- View image is done. The registration is done based on an assumed velocity parameter, and repeated with entire candidate parameters. In this paper, a simple model and the particle filter is introduced to decrease the computation cost. Simple model gives a constraint to the registration of the Top-View images, and the particle filter decreases the number of the candidate parameters. Position of the camera is obtained by accumulating the velocity parameters. Experiments shows 3 results. Enough decreasement of the computation cost, suitable estimated trajectory and small enough computation cost to estimate the trajectory of the vehicle.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 6496 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | Real-Time Image Processing 2007 - San Jose, CA, United States Duration: 2007 Jan 29 → 2007 Jan 30 |
Other
| Other | Real-Time Image Processing 2007 |
|---|---|
| Country | United States |
| City | San Jose, CA |
| Period | 07/1/29 → 07/1/30 |
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Keywords
- Homography
- ITS
- Vehicle camera
- Vehicle position estimation
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
Camera position estimation method based on matching of Top-View images for running vehicle. / Teshima, Tomoaki; Saito, Hideo; Ozawa, Shinji; Yamamoto, Keiichi; Ihara, Toru.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6496 2007. 649605.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Camera position estimation method based on matching of Top-View images for running vehicle
AU - Teshima, Tomoaki
AU - Saito, Hideo
AU - Ozawa, Shinji
AU - Yamamoto, Keiichi
AU - Ihara, Toru
PY - 2007
Y1 - 2007
N2 - In this paper, a method which estimates the trajectory of the vehicle from a single vehicle camera is proposed. The proposed method is a model based method which assumes that the vehicle is running on a planar road. The input image is converted to a Top- View image and a matching (registration) between the next Top- View image is done. The registration is done based on an assumed velocity parameter, and repeated with entire candidate parameters. In this paper, a simple model and the particle filter is introduced to decrease the computation cost. Simple model gives a constraint to the registration of the Top-View images, and the particle filter decreases the number of the candidate parameters. Position of the camera is obtained by accumulating the velocity parameters. Experiments shows 3 results. Enough decreasement of the computation cost, suitable estimated trajectory and small enough computation cost to estimate the trajectory of the vehicle.
AB - In this paper, a method which estimates the trajectory of the vehicle from a single vehicle camera is proposed. The proposed method is a model based method which assumes that the vehicle is running on a planar road. The input image is converted to a Top- View image and a matching (registration) between the next Top- View image is done. The registration is done based on an assumed velocity parameter, and repeated with entire candidate parameters. In this paper, a simple model and the particle filter is introduced to decrease the computation cost. Simple model gives a constraint to the registration of the Top-View images, and the particle filter decreases the number of the candidate parameters. Position of the camera is obtained by accumulating the velocity parameters. Experiments shows 3 results. Enough decreasement of the computation cost, suitable estimated trajectory and small enough computation cost to estimate the trajectory of the vehicle.
KW - Homography
KW - ITS
KW - Vehicle camera
KW - Vehicle position estimation
UR - http://www.scopus.com/inward/record.url?scp=34548200781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548200781&partnerID=8YFLogxK
U2 - 10.1117/12.704067
DO - 10.1117/12.704067
M3 - Conference contribution
AN - SCOPUS:34548200781
SN - 0819466093
SN - 9780819466099
VL - 6496
BT - Proceedings of SPIE - The International Society for Optical Engineering
ER -