MA53520B1 - Autonomous distributed video surveillance method and platform for detecting and monitoring events in real time through low-cost interconnected smart cameras - Google Patents

Autonomous distributed video surveillance method and platform for detecting and monitoring events in real time through low-cost interconnected smart cameras

Info

Publication number
MA53520B1
MA53520B1 MA53520A MA53520A MA53520B1 MA 53520 B1 MA53520 B1 MA 53520B1 MA 53520 A MA53520 A MA 53520A MA 53520 A MA53520 A MA 53520A MA 53520 B1 MA53520 B1 MA 53520B1
Authority
MA
Morocco
Prior art keywords
detecting
platform
camera
cost
cameras
Prior art date
Application number
MA53520A
Other languages
French (fr)
Other versions
MA53520A1 (en
Inventor
Mohammed Azzakhnini
Ahmed Azough
Noureddine En-Nahnahi
Original Assignee
Univ Sidi Mohammed Ben Abdellah
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 Univ Sidi Mohammed Ben Abdellah filed Critical Univ Sidi Mohammed Ben Abdellah
Priority to MA53520A priority Critical patent/MA53520B1/en
Priority to PCT/MA2022/050008 priority patent/WO2022260505A1/en
Publication of MA53520A1 publication Critical patent/MA53520A1/en
Publication of MA53520B1 publication Critical patent/MA53520B1/en

Links

Classifications

    • 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
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F9/00—Details other than those peculiar to special kinds or types of apparatus
    • G07F9/009—User recognition or proximity detection

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Alarm Systems (AREA)

Abstract

La présente invention décrit une méthode et plateforme de vidéosurveillance distribuée autonome pour détecter et suivre les évènements qui se déroulent dans une zone surveillée par une collection dispersée de caméras intelligentes peu coûteuses et faiblement couplées. L'idée est de faire interconnecter un ensemble de caméras qui sont connectées à des systèmes de traitements dotés d’un espace de stockage qui sert de base de données locale pour chaque caméra. Cet ensemble représente notre caméra intelligente dans ce brevet. Notre méthode et plateforme proposée s’appuie sur des algorithmes de vision par ordinateur appropriés afin d’effectuer les taches de détection, de suivi et d’identification des objets en mouvements. Par la suite, chaque objet détecté sera représenté par une signature en trois dimensions qui l’identifie de manière unique. Cette signature est construite en combinant les aspects visuels de l’objet pris de différents angles de vue. De cette façon, chaque objet suivi sera reconnu par les autres caméras intelligentes et cela à partir de n’importe quel angle par lequel il a été détecté. Les différentes signatures, qui sont stockées dans la base de données locale à chaque caméra, sont utilisées pour rechercher des objets d’intérêts ou pour constituer la trajectoire complète parcourue par un objet dans la zone surveilléeThe present invention describes an autonomous distributed video surveillance method and platform for detecting and tracking events taking place in an area monitored by a dispersed collection of low-cost, loosely coupled smart cameras. The idea is to interconnect a set of cameras that are connected to processing systems with a storage space that serves as a local database for each camera. This set represents our smart camera in this patent. Our proposed method and platform relies on appropriate computer vision algorithms to perform the tasks of detecting, tracking and identifying moving objects. Subsequently, each detected object will be represented by a three-dimensional signature that uniquely identifies it. This signature is constructed by combining the visual aspects of the object taken from different viewing angles. In this way, each tracked object will be recognized by the other smart cameras and this from any angle from which it was detected. The different signatures, which are stored in the local database at each camera, are used to search for objects of interest or to constitute the complete trajectory traveled by an object in the monitored area.

MA53520A 2021-06-11 2021-06-11 Autonomous distributed video surveillance method and platform for detecting and monitoring events in real time through low-cost interconnected smart cameras MA53520B1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MA53520A MA53520B1 (en) 2021-06-11 2021-06-11 Autonomous distributed video surveillance method and platform for detecting and monitoring events in real time through low-cost interconnected smart cameras
PCT/MA2022/050008 WO2022260505A1 (en) 2021-06-11 2022-06-09 Self-contained distributed video surveillance method and platform for real-time event detection and tracking by means of low-cost interconnected smart cameras

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MA53520A MA53520B1 (en) 2021-06-11 2021-06-11 Autonomous distributed video surveillance method and platform for detecting and monitoring events in real time through low-cost interconnected smart cameras

Publications (2)

Publication Number Publication Date
MA53520A1 MA53520A1 (en) 2022-12-30
MA53520B1 true MA53520B1 (en) 2023-03-31

Family

ID=84034107

Family Applications (1)

Application Number Title Priority Date Filing Date
MA53520A MA53520B1 (en) 2021-06-11 2021-06-11 Autonomous distributed video surveillance method and platform for detecting and monitoring events in real time through low-cost interconnected smart cameras

Country Status (2)

Country Link
MA (1) MA53520B1 (en)
WO (1) WO2022260505A1 (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9407881B2 (en) * 2014-04-10 2016-08-02 Smartvue Corporation Systems and methods for automated cloud-based analytics for surveillance systems with unmanned aerial devices
KR101897505B1 (en) 2017-01-23 2018-09-12 광주과학기술원 A method and a system for real time tracking an interesting target under multi-camera environment
US20180308243A1 (en) 2017-03-28 2018-10-25 Irvine Sensors Corporation Cognitive Tracker -- Appliance For Enabling Camera-to-Camera Object Tracking in Multi-Camera Surveillance Systems
US10867398B2 (en) * 2017-11-21 2020-12-15 Reliance Core Consulting LLC Methods, systems, apparatuses and devices for facilitating motion analysis in an environment

Also Published As

Publication number Publication date
WO2022260505A1 (en) 2022-12-15
MA53520A1 (en) 2022-12-30

Similar Documents

Publication Publication Date Title
Shenoi et al. Jrmot: A real-time 3d multi-object tracker and a new large-scale dataset
Leigh et al. Person tracking and following with 2d laser scanners
Hartmann et al. Predicting matchability
US8649565B1 (en) System for automatic object localization based on visual simultaneous localization and mapping (SLAM) and cognitive swarm recognition
Lim et al. Monocular localization of a moving person onboard a quadrotor mav
JP2019536012A (en) Visual inertial navigation using variable contrast tracking residuals
US20120202515A1 (en) Smartphone-based asset management system
Kasper et al. A benchmark for visual-inertial odometry systems employing onboard illumination
Nandhini et al. Deep Neural Network-based Crime Scene Detection with Frames
Layne et al. Investigating open-world person re-identification using a drone
Meyer et al. A semantic world model for urban search and rescue based on heterogeneous sensors
Huang et al. Novel method of monocular real-time feature point tracking for tethered space robots
Zhang et al. Single camera visual odometry based on random finite set statistics
CN109117882B (en) Method, device and system for acquiring user track and storage medium
Halber et al. Rescan: Inductive instance segmentation for indoor rgbd scans
MA53520B1 (en) Autonomous distributed video surveillance method and platform for detecting and monitoring events in real time through low-cost interconnected smart cameras
Chen et al. A study of sensor-fusion mechanism for mobile robot global localization
Yuan et al. ROW-SLAM: Under-canopy cornfield semantic SLAM
Yang et al. Sea you later: Metadata-guided long-term re-identification for uav-based multi-object tracking
Wirbel et al. Humanoid robot navigation: From a visual SLAM to a visual compass
Chan et al. Autonomous person-specific following robot
van Rooijen et al. Rapid person re-identification retraining strategy for flexible deployment in new environments
Acampora et al. Towards automatic bloodstain pattern analysis through cognitive robots
Godil et al. Ground truth systems for object recognition and tracking
Frosi et al. D3VIL-SLAM: 3D Visual Inertial LiDAR SLAM for Outdoor Environments