Evaluation of object detection proposals under condition variations

Fahimeh Rezazadegan, Sareh Shirazi, Michael Milford, Ben Upcroft

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
Pages1-2
Number of pages2
Publication statusSubmitted - 10 Dec 2015
Externally publishedYes
Event2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) Workshops - Boston, United States
Duration: 7 Jun 201512 Jun 2015

Conference

Conference2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) Workshops
CountryUnited States
CityBoston
Period7/06/1512/06/15

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