WO2014092552A3 - Non-static foreground feature extraction and classification - Google Patents

Non-static foreground feature extraction and classification Download PDF

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Publication number
WO2014092552A3
WO2014092552A3 PCT/MY2013/000266 MY2013000266W WO2014092552A3 WO 2014092552 A3 WO2014092552 A3 WO 2014092552A3 MY 2013000266 W MY2013000266 W MY 2013000266W WO 2014092552 A3 WO2014092552 A3 WO 2014092552A3
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WO
WIPO (PCT)
Prior art keywords
clouds
current frame
feature points
disparity
images
Prior art date
Application number
PCT/MY2013/000266
Other languages
French (fr)
Other versions
WO2014092552A2 (en
Inventor
Binti Kadim ZULAIKHA
Hock Woon Hon
Binti Samudin NORSHUHADA
Original Assignee
Mimos Berhad
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mimos Berhad filed Critical Mimos Berhad
Publication of WO2014092552A2 publication Critical patent/WO2014092552A2/en
Publication of WO2014092552A3 publication Critical patent/WO2014092552A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/292—Multi-camera tracking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/215—Motion-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/285—Analysis of motion using a sequence of stereo image pairs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G06T2207/10021—Stereoscopic video; Stereoscopic image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30232—Surveillance

Abstract

The present invention provides a method for processing videos captured through a stereo camera, the videos having a plurality of frames, each frames includes at least a left and a right images. The method includes acquiring videos captured by the pair of stereo cameras (101) and acceleration information of the stereo camera (101) detected through the accelerometer (102); extracting feature points in the right and left images of a current frame; matching the feature points between the right and left images, wherein disparity value of each feature point is computed; clustering the feature points on a current frame into one or more clouds based on their appearance and distance; determining a correspondence between the clouds of the current frame and previous frame; classifying the clouds through estimating statistical disparity distribution of each cloud to identify if the respective clouds are new clouds, existing clouds or unknown clouds; and merging the clouds that are determined to be a same object based on the tracking information and changes of disparity of the clouds over time. A system carrying out the above method is also provided herein.
PCT/MY2013/000266 2012-12-13 2013-12-13 Method for non-static foreground feature extraction and classification WO2014092552A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
MYPI2012005406 2012-12-13
MYPI2012005406A MY172143A (en) 2012-12-13 2012-12-13 Method for non-static foreground feature extraction and classification

Publications (2)

Publication Number Publication Date
WO2014092552A2 WO2014092552A2 (en) 2014-06-19
WO2014092552A3 true WO2014092552A3 (en) 2014-09-12

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/MY2013/000266 WO2014092552A2 (en) 2012-12-13 2013-12-13 Method for non-static foreground feature extraction and classification

Country Status (2)

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MY (1) MY172143A (en)
WO (1) WO2014092552A2 (en)

Cited By (1)

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US11847832B2 (en) 2020-11-11 2023-12-19 Zebra Technologies Corporation Object classification for autonomous navigation systems

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* Cited by examiner, † Cited by third party
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US9396554B2 (en) 2014-12-05 2016-07-19 Symbol Technologies, Llc Apparatus for and method of estimating dimensions of an object associated with a code in automatic response to reading the code
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US10352689B2 (en) 2016-01-28 2019-07-16 Symbol Technologies, Llc Methods and systems for high precision locationing with depth values
US10145955B2 (en) 2016-02-04 2018-12-04 Symbol Technologies, Llc Methods and systems for processing point-cloud data with a line scanner
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US10572763B2 (en) 2017-09-07 2020-02-25 Symbol Technologies, Llc Method and apparatus for support surface edge detection
US10809078B2 (en) 2018-04-05 2020-10-20 Symbol Technologies, Llc Method, system and apparatus for dynamic path generation
US10823572B2 (en) 2018-04-05 2020-11-03 Symbol Technologies, Llc Method, system and apparatus for generating navigational data
US11327504B2 (en) 2018-04-05 2022-05-10 Symbol Technologies, Llc Method, system and apparatus for mobile automation apparatus localization
US10832436B2 (en) 2018-04-05 2020-11-10 Symbol Technologies, Llc Method, system and apparatus for recovering label positions
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US10731970B2 (en) 2018-12-13 2020-08-04 Zebra Technologies Corporation Method, system and apparatus for support structure detection
CA3028708A1 (en) 2018-12-28 2020-06-28 Zih Corp. Method, system and apparatus for dynamic loop closure in mapping trajectories
US11080566B2 (en) 2019-06-03 2021-08-03 Zebra Technologies Corporation Method, system and apparatus for gap detection in support structures with peg regions
US11960286B2 (en) 2019-06-03 2024-04-16 Zebra Technologies Corporation Method, system and apparatus for dynamic task sequencing
US11662739B2 (en) 2019-06-03 2023-05-30 Zebra Technologies Corporation Method, system and apparatus for adaptive ceiling-based localization
US11200677B2 (en) 2019-06-03 2021-12-14 Zebra Technologies Corporation Method, system and apparatus for shelf edge detection
US11402846B2 (en) 2019-06-03 2022-08-02 Zebra Technologies Corporation Method, system and apparatus for mitigating data capture light leakage
US11341663B2 (en) 2019-06-03 2022-05-24 Zebra Technologies Corporation Method, system and apparatus for detecting support structure obstructions
US11151743B2 (en) 2019-06-03 2021-10-19 Zebra Technologies Corporation Method, system and apparatus for end of aisle detection
US11507103B2 (en) 2019-12-04 2022-11-22 Zebra Technologies Corporation Method, system and apparatus for localization-based historical obstacle handling
US11107238B2 (en) 2019-12-13 2021-08-31 Zebra Technologies Corporation Method, system and apparatus for detecting item facings
US11822333B2 (en) 2020-03-30 2023-11-21 Zebra Technologies Corporation Method, system and apparatus for data capture illumination control
US11450024B2 (en) 2020-07-17 2022-09-20 Zebra Technologies Corporation Mixed depth object detection
US11593915B2 (en) 2020-10-21 2023-02-28 Zebra Technologies Corporation Parallax-tolerant panoramic image generation
US11392891B2 (en) 2020-11-03 2022-07-19 Zebra Technologies Corporation Item placement detection and optimization in material handling systems
US11954882B2 (en) 2021-06-17 2024-04-09 Zebra Technologies Corporation Feature-based georegistration for mobile computing devices
CN114708304B (en) * 2022-06-06 2022-10-28 苏州浪潮智能科技有限公司 Cross-camera multi-target tracking method, device, equipment and medium

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2256690A1 (en) * 2009-05-29 2010-12-01 Honda Research Institute Europe GmbH Object motion detection system based on combining 3D warping techniques and a proper object motion detection

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2256690A1 (en) * 2009-05-29 2010-12-01 Honda Research Institute Europe GmbH Object motion detection system based on combining 3D warping techniques and a proper object motion detection

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
CHENG YUAN TANG ET AL: "A 3D Feature-Based Tracker for Multiple Object Tracking", PROC. NATL. SCI. COUNC. ROC(A), VOL. 21, NO. 1, 1 January 1999 (1999-01-01), pages 151 - 168, XP055126436, Retrieved from the Internet <URL:http://pdf.aminer.org/000/361/024/a_d_predictive_visual_tracker_for_tracking_multiple_moving_objects.pdf> [retrieved on 20140702] *
WEI DU ET AL: "Tracking by cluster analysis of feature points using a mixture particle filter", PROCEEDINGS. IEEE CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, 2005. COMO, ITALY SEPT. 15-16, 2005, PISCATAWAY, NJ, USA,IEEE, PISCATAWAY, NJ, USA, 15 September 2005 (2005-09-15), pages 165 - 170, XP010881168, ISBN: 978-0-7803-9385-1, DOI: 10.1109/AVSS.2005.1577261 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11847832B2 (en) 2020-11-11 2023-12-19 Zebra Technologies Corporation Object classification for autonomous navigation systems

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Publication number Publication date
MY172143A (en) 2019-11-14
WO2014092552A2 (en) 2014-06-19

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