WO2015030689A3 - A tool and method for robust, scale and orientation invariant object detection and classification - Google Patents

A tool and method for robust, scale and orientation invariant object detection and classification Download PDF

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Publication number
WO2015030689A3
WO2015030689A3 PCT/TR2014/000318 TR2014000318W WO2015030689A3 WO 2015030689 A3 WO2015030689 A3 WO 2015030689A3 TR 2014000318 W TR2014000318 W TR 2014000318W WO 2015030689 A3 WO2015030689 A3 WO 2015030689A3
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WO
WIPO (PCT)
Prior art keywords
robust
classification
tool
scale
object detection
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PCT/TR2014/000318
Other languages
French (fr)
Other versions
WO2015030689A2 (en
Inventor
Halis ALTUN
Original Assignee
Altun Halis
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Publication date
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Publication of WO2015030689A2 publication Critical patent/WO2015030689A2/en
Publication of WO2015030689A3 publication Critical patent/WO2015030689A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis

Abstract

The invention relates to shape detection method and system and more particularly to automatic shape detection method and system that detects the shape of an object in an image acquired by a camera.
PCT/TR2014/000318 2013-08-27 2014-08-27 A tool and method for robust, scale and orientation invariant object detection and classification WO2015030689A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR201310136 2013-08-27
TR2013/10136 2013-08-27

Publications (2)

Publication Number Publication Date
WO2015030689A2 WO2015030689A2 (en) 2015-03-05
WO2015030689A3 true WO2015030689A3 (en) 2015-04-23

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PCT/TR2014/000318 WO2015030689A2 (en) 2013-08-27 2014-08-27 A tool and method for robust, scale and orientation invariant object detection and classification

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108647665B (en) * 2018-05-18 2021-07-27 西安电子科技大学 Aerial photography vehicle real-time detection method based on deep learning

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EP2846631A4 (en) 2012-05-10 2017-02-15 President and Fellows of Harvard College A system and method for automatically discovering, characterizing, classifying and semi-automatically labeling animal behavior and quantitative phenotyping of behaviors in animals
AU2016338856B2 (en) 2015-10-14 2021-01-28 President And Fellows Of Harvard College Automatically classifying animal behavior
US10909691B2 (en) 2016-03-18 2021-02-02 President And Fellows Of Harvard College Automatically classifying animal behavior
CN108960310A (en) * 2018-06-25 2018-12-07 北京普惠三农科技有限公司 A kind of agricultural pest recognition methods based on artificial intelligence

Citations (1)

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US20130004081A1 (en) * 2011-06-30 2013-01-03 Fujitsu Limited Image recognition device, image recognizing method, storage medium that stores computer program for image recognition

Patent Citations (1)

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US20130004081A1 (en) * 2011-06-30 2013-01-03 Fujitsu Limited Image recognition device, image recognizing method, storage medium that stores computer program for image recognition

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
BERKAN DEMIRCI ET AL: "Implementing HOG & AMDF based shape detection algorithm for computer vision & robotics education using LEGO Mindstorms NXT", 2013 THE INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCES IN ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (TAEECE), 9 May 2013 (2013-05-09), pages 288 - 293, XP055167389, ISBN: 978-1-46-735612-1, DOI: 10.1109/TAEECE.2013.6557288 *
DALAL N ET AL: "Histograms of oriented gradients for human detection", PROCEEDINGS / 2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2005 : [20 - 25 JUNE 2005, SAN DIEGO, CA], IEEE, PISCATAWAY, NJ, USA, 25 June 2005 (2005-06-25), pages 886 - 893vol.1, XP031330347, ISBN: 978-0-7695-2372-9 *
MURAT PEKER ET AL: "Hardware emulation of HOG and AMDF based scale and rotation invariant robust shape detection", ENGINEERING AND TECHNOLOGY (ICET), 2012 INTERNATIONAL CONFERENCE ON, IEEE, 10 October 2012 (2012-10-10), pages 1 - 5, XP032293400, ISBN: 978-1-4673-4808-9, DOI: 10.1109/ICENGTECHNOL.2012.6396145 *
OSMAN ARSLAN ET AL: "A novel rotation-invariant template matching based on HOG and AMDF for industrial laser cutting applications", MECHATRONICS AND ITS APPLICATIONS (ISMA), 2013 9TH INTERNATIONAL SYMPOSIUM ON, IEEE, 9 April 2013 (2013-04-09), pages 1 - 5, XP032431840, ISBN: 978-1-4673-5014-3, DOI: 10.1109/ISMA.2013.6547367 *
VICTOR-EMIL NEAGOE ET AL: "A Neural Network Approach to Pedestrian Detection", WSEAS INTERNATIONAL CONFERENCE ON COMPUTERS, 23 July 2009 (2009-07-23), Wisconsin, USA, pages 374 - 379, XP055167691, ISBN: 978-9-60-474099-4 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108647665B (en) * 2018-05-18 2021-07-27 西安电子科技大学 Aerial photography vehicle real-time detection method based on deep learning

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