Improved BING Method and Its Application in Object Detection

DOI

10.2991/aiie-15.2015.18How to use a DOI?

Keywords

region proposal; saliency computing; BING; object detection; SVM

Abstract

In this paper, we proposed an improved saliency computing method based on BING method.We observedthat the undetected objects of BING method have something in common-that is, most of them are occluded or truncated. Therefore, we improved BING method by:Firstly, make a new training set with undetected objects (by BING method)and truncated ground truth ofthe original training set. Then,train an assistant filter on this new training set.The assistant filter supplements BING method by detecting objects which BING method misses successfully.The experimental results show that the detection rate with improvedBING method is increased from 97.2% to 98.1% for 2000 proposals, and that our method, withtraining of an assistant filter, is better than original BING method atfinding incomplete objects.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - J.C. Cheng
AU  - Y.L. Li
AU  - S.J. Wang
PY  - 2015/07
DA  - 2015/07
TI  - Improved BING Method and Its Application in Object Detection
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 64
EP  - 68
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.18
DO  - 10.2991/aiie-15.2015.18
ID  - Cheng2015/07
ER  -