Physical Intrusion Detection System Using Stereo Video Analytics

Aravamuthan, G.; Punna, Rajasekhar; Verma, Rajiv Kumar; Shrikhande, Shubhangi; Kar, Somitra; Babu, Suresh

doi:10.1007/978-981-32-9291-8_15

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…In this case, video acquisition must be conducted at 5 to 25 frames per second. In (Aravamuthan et al, 2020;S.-Y. Kim et al, 2013;Shao et al, 2014), improved intrusion detection is achieved by using additional sensors to provide depth information.…”

Section: Resultsmentioning

confidence: 99%

A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer

Erlina,

Fikri

2023

JAETS

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In Indonesia, assistance for small enterprises has grown in recent years. However, a monitoring system is required to support these enterprises and ensure their expansion and survival. Using a single-board computer and the YOLO algorithm, we construct a visitor tracking system in this study to meet this demand. To capture objects and categorize them as human or non-human, we employ the YOLOv4-tiny model, which has a mAP of 89.21%. Human visitors are welcomed with the use of a speaker. A telegraph bot that notifies the owner of the retail establishment of the visitor's presence also makes the presumption as to whether the visitor is a potential customer or an intruder. Our research demonstrates that the created monitoring system effectively recognizes and categorizes visits, enabling retail store owners to make defensible choices regarding visitor interaction and security precautions. Small business owners can save personnel costs while still maintaining high levels of client engagement and security. The theoretical application of this research is the creation of a visitor monitoring system that is affordable and may be used in small enterprises, particularly in Indonesia. The practical ramifications of our research include the possibility for small retail business owners to boost profits by lowering labor expenses while raising customer satisfaction and security. The importance of our study lies in its role in creating a monitoring system that will support small enterprises and increase their sustainability.

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Section: Resultsmentioning

confidence: 99%

A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer

Erlina,

Fikri

2023

JAETS

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“…The Stereo cameras approach (placing two cameras similar to human eyes), wherein intrinsic and extrinsic calibration parameters of cameras are used is other most used approach. Stereo imaging has been explored for surveillance application [14], in which objects are detected in both the images acquired and depth of the object are estimated. Both these approaches requires finding the corresponding points from the set of images.…”

Section: Localisation Phasementioning

confidence: 99%

GIS assisted Multi-Camera surveillance system with novel calibration approach for critical facilities

Punna,

Kar

2024

Preprint

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The protection of any strategic and critical facilities from physical intrusionsis of prime importance to the authorities. Now-a-days, a lot of video camerasare installed for surveillance to detect intrusions along the perimeter of suchfacilities. However, monitoring through video feed from a large number of camerassimultaneously by security personnel is tedious and often error prone. This paperdescribes an intelligent system developed to assist in surveillance by detectingintrusions from the video feed of already existing infrastructure of cameras andby marking the intrusion on a GIS map in real time. GIS mapping integratesthe output of multiple cameras in a single bird’s eye view to provide a pictureof entire perimeter in a glance. The intrusions are detected using deep learningbased object detection model and the pixel location of intrusions are transformedto GIS coordinates. This approach helps in reducing the number of watch towers,patrolling frequency etc., which in turn reduces the costs to security. This alsoacts as an assisting tool to the security by pointing at the right camera feed, inwhich a probable intrusion is occurring. This approach has been implementedat a critical facility with feed from geographically isolated multiple surveillancecameras located along the perimeter of 7km stretch. The video stream is collectedand processed at a centralised server with CUDA enabled GPU devices. Thesystem achieves a frame rate of 10fps for 75 cameras. This software architectureis modular and seamlessly scales-up to handle any number of cameras

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“…All of these camera types can be used with additional sensors. The depth information can help in determining the perspective size of an object and, thus, can help in better intrusion detection [8,23]. However, using a depth sensor also has several problems, such as mixed, lost and noisy pixels in the depth image [34,35].…”

Section: Other Types Of Acquisitionsmentioning

confidence: 99%

“…However, the PID task lacks such a review work. Few works define the PID task, but their definition requires clarity [4,22,23]. It is essential to mathematically define the task as its definition has a direct impact on the evaluation.…”

Section: Introductionmentioning

confidence: 99%

Perimeter Intrusion Detection by Video Surveillance: A Survey

Lohani

Crispim-Junior

Barthélemy³

et al. 2022

Sensors

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In recent times, we have seen a massive rise in vision-based applications, such as video anomaly detection, motion detection, object tracking, people counting, etc. Most of these tasks are well defined, with a clear idea of the goal, along with proper datasets and evaluation procedures. However, perimeter intrusion detection (PID), which is one of the major tasks in visual surveillance, still needs to be formally defined. A perimeter intrusion detection system (PIDS) aims to detect the presence of an unauthorized object in a protected outdoor site during a certain time. Existing works vaguely define a PIDS, and this has a direct impact on the evaluation of methods. In this paper, we mathematically define it. We review the existing methods, datasets and evaluation protocols based on this definition. Furthermore, we provide a suitable evaluation protocol for real-life application. Finally, we evaluate the existing systems on available datasets using different evaluation schemes and metrics.

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Physical Intrusion Detection System Using Stereo Video Analytics

Cited by 8 publications

References 8 publications

A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer

A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer

GIS assisted Multi-Camera surveillance system with novel calibration approach for critical facilities

Perimeter Intrusion Detection by Video Surveillance: A Survey

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