NDLI: Abing: Adjusted Binarized Normed Gradients for objectness measure

Content Provider	IEEE Xplore Digital Library
Author	Tian, Wen-Jie Zhao, Yong Yuan, Yu-Le
Copyright Year	2014
Description	Author affiliation: Shenzhen Graduate School, Peking University, China (Tian, Wen-Jie; Zhao, Yong; Yuan, Yu-Le)
Abstract	Objectness measure, which generates some candidate object proposals, has been shown to accelerate the traditional sliding window category-dependent object detection methods. Binarized Normed Gradients (BING) is one of the state-of-the-art detectors. It achieves high object detection rate (DR), but moderate object overlap rate (OR) because the candidate proposals produced by BING are fixed-sized. In this paper, we propose a novel objectness detector, named as ABING (Adjusted Binarized Normed Gradients). It adjusts the fixed-sized proposals produced by BING, which can be accelerated by heap sort NMS (HS-NMS), and yields variable-sized ones by effectively exploiting Top Border None Object Boundary (TBNOB) principle and superpixel line integral (LI) cue. In experiments on the challenging PASCAL VOC 2007 dataset, we show that our ABING detector can consistently outperform BING with any number of proposals. Moreover, with well-chosen parameters, ABING can markedly enhance the DR and OR of BING with a certain number of proposals (e.g. 1000 proposals).
Starting Page	1295
Ending Page	1300
File Size	6093967
Page Count	6
File Format	PDF
ISBN	9781479921881
ISSN	21645221
e-ISBN	9781479921867
DOI	10.1109/ICOSP.2014.7015209
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proposals Object detection Detectors Computer vision Conferences Integral equations Bismuth BING Objectness Object Detection
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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