MY161490A - A system and method to detect human loitering activity using trajectory information - Google Patents

A system and method to detect human loitering activity using trajectory information

Info

Publication number
MY161490A
MY161490A MYPI2010005703A MYPI2010005703A MY161490A MY 161490 A MY161490 A MY 161490A MY PI2010005703 A MYPI2010005703 A MY PI2010005703A MY PI2010005703 A MYPI2010005703 A MY PI2010005703A MY 161490 A MY161490 A MY 161490A
Authority
MY
Malaysia
Prior art keywords
interest
loitering
region
time span
determining
Prior art date
Application number
MYPI2010005703A
Inventor
Mei Kuan Lim
Weng Kin Lai
Chee Seng Chan
Kadim Zulaikha
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
Priority to MYPI2010005703A priority Critical patent/MY161490A/en
Priority to PCT/MY2011/000162 priority patent/WO2012074370A1/en
Publication of MY161490A publication Critical patent/MY161490A/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects

Abstract

One embodiment of the present invention provides a system (800) for detecting loitering event in region of interest. Another embodiment of the present invention provides a method (900) for detecting loitering event in region of interest. The method comprising steps of determining presence of at least one object in region of interest (902), tagging each object of interest with identity (904), computing total time stamp for each object of interest (906), determining time span of each object of interest based on trajectory information and speed profile (908), detecting loitering event based on combination of plurality of determining features (910) and triggering alert when loitering event is detected (912).Total timestamp for each object of interest is computed by classifying each object as normal or suspicious by applying plurality of loitering thresholds by further establishing first threshold value TS to determine loitering event depending on time span of each object (1202); determining loitering event when total time span for object ti in region of interest is greater than first threshold value Ts (1204); establishing second threshold value TL to determine loitering event depending on time span status of each object (1206); and determining loitering event when a total time span for object ti in region of interest is greater than second threshold value TL and its trajectory status is abnormal (1208).
MYPI2010005703A 2010-12-01 2010-12-01 A system and method to detect human loitering activity using trajectory information MY161490A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MYPI2010005703A MY161490A (en) 2010-12-01 2010-12-01 A system and method to detect human loitering activity using trajectory information
PCT/MY2011/000162 WO2012074370A1 (en) 2010-12-01 2011-06-30 A system and method to detect human loitering activity using trajectory information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MYPI2010005703A MY161490A (en) 2010-12-01 2010-12-01 A system and method to detect human loitering activity using trajectory information

Publications (1)

Publication Number Publication Date
MY161490A true MY161490A (en) 2017-04-14

Family

ID=46172130

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2010005703A MY161490A (en) 2010-12-01 2010-12-01 A system and method to detect human loitering activity using trajectory information

Country Status (2)

Country Link
MY (1) MY161490A (en)
WO (1) WO2012074370A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3502952B1 (en) 2017-12-19 2020-10-14 Axis AB Method, device and system for detecting a loitering event
EP3557549B1 (en) * 2018-04-19 2024-02-21 PKE Holding AG Method for evaluating a motion event
CN113554678B (en) * 2020-04-24 2023-09-12 杭州海康威视数字技术股份有限公司 Method, device and storage medium for detecting loitering behavior of moving object

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7136507B2 (en) * 2003-11-17 2006-11-14 Vidient Systems, Inc. Video surveillance system with rule-based reasoning and multiple-hypothesis scoring
US8724891B2 (en) * 2004-08-31 2014-05-13 Ramot At Tel-Aviv University Ltd. Apparatus and methods for the detection of abnormal motion in a video stream
US20100208063A1 (en) * 2009-02-19 2010-08-19 Panasonic Corporation System and methods for improving accuracy and robustness of abnormal behavior detection

Also Published As

Publication number Publication date
WO2012074370A1 (en) 2012-06-07

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