Evaluation of object detection proposals under condition variations

Rezazadegan, Fahimeh, Shirazi, Sareh, Milford, Michael, & Upcroft, Ben (2015) Evaluation of object detection proposals under condition variations. In Computer Vision and Pattern Recognition IEEE Conference Workshops (CVPRW 2015), 7-12 June 2015, Boston, Mass.

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Abstract

Object detection is a fundamental task in many computer vision applications, therefore the importance of evaluating the quality of object detection is well acknowledged in this domain. This process gives insight into the capabilities of methods in handling environmental changes. In this paper, a new method for object detection is introduced that combines the Selective Search and EdgeBoxes. We tested these three methods under environmental variations. Our experiments demonstrate the outperformance of the combination method under illumination and view point variations.

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11 since deposited on 16 Dec 2015
11 in the past twelve months

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ID Code: 84643
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: object detection, illumination variations, view point variations, EdgeBoxes, Selective Search
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Divisions: Current > Research Centres > ARC Centre of Excellence for Robotic Vision
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 [Please consult with Authors]
Deposited On: 16 Dec 2015 04:06
Last Modified: 17 Dec 2015 07:16

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