IN2014MU03302A - - Google Patents

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Publication number
IN2014MU03302A
IN2014MU03302A IN3302MU2014A IN2014MU03302A IN 2014MU03302 A IN2014MU03302 A IN 2014MU03302A IN 3302MU2014 A IN3302MU2014 A IN 3302MU2014A IN 2014MU03302 A IN2014MU03302 A IN 2014MU03302A
Authority
IN
India
Prior art keywords
module
pedestrian
image based
processing module
edge
Prior art date
Application number
Inventor
Vinay Govind Dr Vaidya
Kutty Krishnan Mr
Nair Smita Mrs
Behera Reena Kumari Ms
Gangadharan Jiji Ms
Original Assignee
Kpit Technologies Ltd
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 Kpit Technologies Ltd filed Critical Kpit Technologies Ltd
Priority to PCT/IN2015/000300 priority Critical patent/WO2016059643A1/en
Priority to IN3302MU2014 priority patent/IN2014MU03302A/en
Publication of IN2014MU03302A publication Critical patent/IN2014MU03302A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • 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
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads

Abstract

ABSTRACT SYSTEM AND METHOD FOR PEDESTRIAN DETECTION The present invention describes method and system for pedestrian detection during daytime. The method comprises detecting edges between object boundaries in a captured image based on color data, linking the edges by detecting missing links between object boundaries based on identifying and filling broken links, segmenting the image based on color edge labeling, removing clutter in the segmented image, determining at least one of a leg pattern and head region, and classifying the object in the image as one of a pedestrian object and non-pedestrian object in the image based on the determination of the at least one of a leg pattern and head region. The system comprises a pre-processing module, a segmenting module, a post-processing module, a detection module, a classification module, and a tracking module. The pre-processing module comprises an edge detecting module, and an edge linking module. Figure 2
IN3302MU2014 2014-10-16 2015-07-29 IN2014MU03302A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/IN2015/000300 WO2016059643A1 (en) 2014-10-16 2015-07-29 System and method for pedestrian detection
IN3302MU2014 IN2014MU03302A (en) 2014-10-16 2015-07-29

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN3302MU2014 IN2014MU03302A (en) 2014-10-16 2015-07-29

Publications (1)

Publication Number Publication Date
IN2014MU03302A true IN2014MU03302A (en) 2015-08-07

Family

ID=54396929

Family Applications (1)

Application Number Title Priority Date Filing Date
IN3302MU2014 IN2014MU03302A (en) 2014-10-16 2015-07-29

Country Status (2)

Country Link
IN (1) IN2014MU03302A (en)
WO (1) WO2016059643A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111199177A (en) * 2018-11-20 2020-05-26 中山大学深圳研究院 Automobile rearview pedestrian detection alarm method based on fisheye image correction

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2553005B (en) * 2016-08-19 2022-04-13 Apical Ltd Method of line detection
CN109784176B (en) * 2018-12-15 2023-05-23 华南理工大学 Vehicle-mounted thermal imaging pedestrian detection Rois extraction method and device
CN110046577B (en) * 2019-04-17 2022-07-26 北京迈格威科技有限公司 Pedestrian attribute prediction method, device, computer equipment and storage medium
CN114022685B (en) * 2020-07-17 2022-10-21 南京南瑞信息通信科技有限公司 Method and system for detecting position of security officer
CN115631472B (en) * 2022-12-19 2023-03-21 山东高速股份有限公司 Intelligent detection method for pedestrian intrusion on expressway

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3739693B2 (en) * 2001-11-09 2006-01-25 本田技研工業株式会社 Image recognition device
WO2005086079A1 (en) * 2004-03-02 2005-09-15 Sarnoff Corporation Method and apparatus for differentiating pedestrians, vehicles, and other objects
JP4094604B2 (en) * 2004-11-30 2008-06-04 本田技研工業株式会社 Vehicle periphery monitoring device
US8411986B2 (en) * 2009-04-13 2013-04-02 Flashfoto, Inc. Systems and methods for segmenation by removal of monochromatic background with limitied intensity variations

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111199177A (en) * 2018-11-20 2020-05-26 中山大学深圳研究院 Automobile rearview pedestrian detection alarm method based on fisheye image correction

Also Published As

Publication number Publication date
WO2016059643A1 (en) 2016-04-21

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