TY - GEN
T1 - Improving object position estimation based on non-linear mapping using Relevance Vector Machine
AU - Robles-Castro, Jesus
AU - Duchen-Sanchez, Gonzalo
AU - Takahashi, Haruhisa
PY - 2011
Y1 - 2011
N2 - The objective of the proposed work is object position estimation, in which the system, after training with examples of images including objects such as cars, should be capable of indicating accurately by coordinates. The method is different from simple object detection, since it uses the context, i.e. the whole image. The key idea is to take an approach with Relevance Vector Machine (RVM) since it leads to sparse models and theoretically better performance is expected compared to previous proposals. The RVM mapping was done first as a training stage, in this case by using the same image database as the conventional method used as comparison with a previous Support Vector Regression proposal, where cars in different positions and sizes are included, and with exact coordinates given explicitly to the system, after this, it can perform without previous training.
AB - The objective of the proposed work is object position estimation, in which the system, after training with examples of images including objects such as cars, should be capable of indicating accurately by coordinates. The method is different from simple object detection, since it uses the context, i.e. the whole image. The key idea is to take an approach with Relevance Vector Machine (RVM) since it leads to sparse models and theoretically better performance is expected compared to previous proposals. The RVM mapping was done first as a training stage, in this case by using the same image database as the conventional method used as comparison with a previous Support Vector Regression proposal, where cars in different positions and sizes are included, and with exact coordinates given explicitly to the system, after this, it can perform without previous training.
UR - http://www.scopus.com/inward/record.url?scp=79955743798&partnerID=8YFLogxK
U2 - 10.1109/CONIELECOMP.2011.5749355
DO - 10.1109/CONIELECOMP.2011.5749355
M3 - Contribución a la conferencia
AN - SCOPUS:79955743798
SN - 9781424495573
T3 - CONIELECOMP 2011 - 21st International Conference on Electronics Communications and Computers, Proceedings
SP - 171
EP - 176
BT - CONIELECOMP 2011 - 21st International Conference on Electronics Communications and Computers, Proceedings
T2 - 21st International Conference on Electronics Communications and Computers, CONIELECOMP 2011
Y2 - 28 February 2011 through 2 March 2011
ER -