Evaluation of Object Detection Proposals Under Condition Variations

Autor:	Rezazadegan, Fahimeh, Shirazi, Sareh, Milford, Michael, Upcroft, Ben
Rok vydání:	2015
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: 2 pages, 6 figures, CVPR Workshop, 2015
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1512.03424 Zobrazit plný text záznamu View this record from Arxiv