Toward a Remote-Controlled Weapon-Equipped Camera Surveillance System

2011 ◽  
Author(s):  
Robert Bisewski ◽  
Pradeep K. Atrey
Keyword(s):  
Surveillance System ◽  
Camera Surveillance

Hierarchical database for a multi-camera surveillance system

2004 ◽  
Vol 7 (4) ◽  
pp. 430-446 ◽  
Author(s):  
James Black ◽  
Dimitrios Makris ◽  
Tim Ellis
Keyword(s):  
Surveillance System ◽  
Camera Surveillance

scholarly journals Parallel Computational Intelligence-Based Multi-Camera Surveillance System

2014 ◽  
Vol 3 (2) ◽  
pp. 95-112 ◽  
Author(s):  
Sergio Orts-Escolano ◽  
Jose Garcia-Rodriguez ◽  
Vicente Morell ◽  
Miguel Cazorla ◽  
Jorge Azorin ◽  
...  
Keyword(s):  
Computational Intelligence ◽  
Surveillance System ◽  
Camera Surveillance

A Real-time Audio Surveillance System Detecting and Localizing Dangerous Sounds for PTZ Camera Surveillance

2013 ◽  
Vol 16 (11) ◽  
pp. 1272-1280
Author(s):  
Viet Quoc Nguyen ◽  
HoSeok Kang ◽  
Sun-Tae Chung ◽  
Seongwon Cho
Keyword(s):  
Real Time ◽  
Surveillance System ◽  
Audio Surveillance ◽  
Ptz Camera ◽  
Camera Surveillance

scholarly journals Transformers in Pedestrian Image Retrieval and Person Re-Identification in a Multi-Camera Surveillance System

2021 ◽  
Vol 11 (19) ◽  
pp. 9197
Author(s):  
Muhammad Tahir ◽  
Saeed Anwar
Keyword(s):  
Neural Networks ◽  
Computer Vision ◽  
Object Recognition ◽  
Image Retrieval ◽  
Surveillance System ◽  
Input Image ◽  
Benchmark Datasets ◽  
Overall Performance ◽  
Camera Surveillance ◽  
Surveillance Applications

Person Re-Identification is an essential task in computer vision, particularly in surveillance applications. The aim is to identify a person based on an input image from surveillance photographs in various scenarios. Most Person re-ID techniques utilize Convolutional Neural Networks (CNNs); however, Vision Transformers are replacing pure CNNs for various computer vision tasks such as object recognition, classification, etc. The vision transformers contain information about local regions of the image. The current techniques take this advantage to improve the accuracy of the tasks underhand. We propose to use the vision transformers in conjunction with vanilla CNN models to investigate the true strength of transformers in person re-identification. We employ three backbones with different combinations of vision transformers on two benchmark datasets. The overall performance of the backbones increased, showing the importance of vision transformers. We provide ablation studies and show the importance of various components of the vision transformers in re-identification tasks.

scholarly journals Improving Performance During Camera Surveillance by Integration of Edge Detection in IoT System

2021 ◽  
Vol 12 (5) ◽  
pp. 84-96
Author(s):  
Sonal Beniwal ◽  
Usha Saini ◽  
Puneet Garg ◽  
Rakesh Kumar Joon
Keyword(s):  
Edge Detection ◽  
Surveillance System ◽  
Research Work ◽  
Detection Mechanism ◽  
Current Frame ◽  
Canny Edge Detection ◽  
Traditional System ◽  
Previous Frame ◽  
Canny Edge ◽  
Camera Surveillance

This paper is proposing an IoT-based camera surveillance system. The objective of research is to detect suspicious activities by camera automatically and take decision by comparing current frame to previous frame. Major motivation behind research work is to enhance the performance of IoT-based system by integration of edge detection mechanism. Research is making use of numerous cameras, canny edge detection-based compression module, picture database, picture comparator. Canny edge detection has been used to minimize size of graphical content to enhancing the performance system. Simulation of output of this work is made in MATLAB simulation tool. Moreover, MATLAB has been used to give comparative analysis among IoT-based camera surveillance system and traditional system. Such system requires less space, and it takes less time to inform regarding any suspicious activities.

scholarly journals Hybrid Camera Surveillance System Using Robust Human Detection

2007 ◽  
Vol 127 (6) ◽  
pp. 837-843 ◽  
Author(s):  
Kenji Iwata ◽  
Yutaka Satoh ◽  
Ikushi Yoda ◽  
Katsuhiko Sakaue
Keyword(s):  
Surveillance System ◽  
Human Detection ◽  
Camera Surveillance
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