Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153447
Title: Towards dependable object detection
Authors: Muthuchamy Selvaraj, Nithish
Muhammad, Ilyas
Cheah, Chien Chern
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Muthuchamy Selvaraj, N., Muhammad, I. & Cheah, C. C. (2020). Towards dependable object detection. 46th Annual Conference of the IEEE Industrial Electronics Society (IECON 2020), 523-528. https://dx.doi.org/10.1109/IECON43393.2020.9255076
Project: NRP-RDS-Ref # 1922200001
Abstract: A high confidence in object detection is very crucial for object detector modules to be used in real world applications. Though the confidence scores in object detection can be improved by using better and larger training data set and using more robust architectures, which is an approach from the computer vision side, this paper aims to improve the detection confidence by finding the effective viewpoints which makes a dependable use of the available object detectors. In particular, we investigate the effect of viewing distance on detection confidence of an object detector, which can further be used to control a camera mounted on a mobile robot to approach a better viewing position. We consider the cases with both fixed focal length and variable focal length camera. Experimental results are presented to demonstrate the efficacy and validity of the techniques presented in this work.
URI: https://hdl.handle.net/10356/153447
ISBN: 9781728154145
ISSN: 2577-1647
DOI: 10.1109/IECON43393.2020.9255076
Rights: © 2020 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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