@inproceedings{4c1095454fd8437ebed919cc6d22408a,
title = "Compensating for visually missing features: Scale adaptive recognition of objects using probabilistic voting",
abstract = "In this work-in-progress paper, we present an efficient methodology for a scale-adaptive recognition of objects. We introduce a new object recognition approach, which detects an object in a scene while probabilistically predicting visually missing features. The idea is to enable a better recognition by considering the fact that object features may not be detected depending on its situation (e.g. distance and occlusion). A probabilistic voting-based methodology is developed.",
keywords = "Object recognition, Visually missing features",
author = "Ryoo, \{M. S.\} and Joung, \{Ji Hoon\} and Wonpil Yu",
year = "2011",
doi = "10.1109/URAI.2011.6145978",
language = "English",
isbn = "9781457707223",
series = "URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence",
pages = "287--288",
booktitle = "URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence",
note = "2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011 ; Conference date: 23-11-2011 Through 26-11-2011",
}