Visual Surveillance
Robust Real-Time Tracking for Visual Surveillance
... To review the generality of the motion detection and track- ing algorithms (Sections 2.1 and 2.2) we applied the per cam- era object tracker to other visual surveillance domains. The result of this can be ...
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Visual Surveillance Using Absolute Difference Motion Detection System
... Continuous Surveillance is closed observance or monitoring of unusual behaviour or any other ...Video surveillance plays a vital role in security systems. Visual surveillance describes the ...
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Developing object detection, tracking and image mosaicing algorithms for visual surveillance
... We have now presented object detection, tracking and image mosaicing al- gorithms that can be used in many different applications including visual surveillance systems. Proposed detection algorithm shows ...
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Abandoned Object Detection via Temporal Consistency Modelling and Back-Tracing Verification for Visual Surveillance
... Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer ...interactive surveillance using multiple cameras, ...of ...
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Motion Pattern Extraction and Event Detection for Automatic Visual Surveillance
... automated visual surveillance systems: more and more surveillance cameras are used in public areas such as airports, malls, and subway ...Automated surveillance systems try to integrate ...
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Automated Vehicle Identification System based on Discrete Curvelet Transform for Visual Surveillance and Traffic Monitoring System
... Vehicle Identification system using the Curvelet transform with preprocessing steps applied by the proposed method gives the recognition result almost double than the Curvelet Transform. Feature extraction with PCA is ...
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An Efficient GA Based Detection Approach for Visual Surveillance System
... Video object segmentation and tracking framework for smart cameras in visual surveillance network was proposed. This method of object tracking reduces computational complexity and enhanced segmentation ...
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A Comparative Study of Statistical and Machine Learning Techniques of Background Subtraction in Visual Surveillance
... involvement, visual survilliance is defined as manual, semi-automatic and fully ...manual visual survillance, only the human is responsible for detecting and performs all the job while viewing the ...
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People Detection and Recognition using Gait for Automated Visual Surveillance
... In this paper, a computer vision system for automated visual surveillance in an unconstrained outdoor environment is described. We propose a method for tracking multiple moving objects based on shape-based ...
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Motion anomaly detection and trajectory analysis in visual surveillance
... the visual surveillance domain ...the visual perception of target motion and quantifies them based on motion characteristics, thus recognizing anomalous ...
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DUAL-TREE DISCREATE-WT BASED TURBULENCE MITIGATION IN VISUAL SURVEILLANCE
... turbulence. In this paper, we propose a novel method for mitigating the effects of atmospheric distortion on observed images, particularly airborne turbulence which can severely degrade a region of interest (ROI). In ...
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Novel Probabilistic Methods for Visual Surveillance Applications
... The analog multi-camera systems often produce video streams by us- ing time-division multiplexing, resulting in unsegmented time-multiplexed videos, i.e. the correspondences between the video frames and the cameras are ...
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Comparison of Fusion Methods for Thermo-Visual Surveillance Tracking
... video surveillance and sensor networks research [1], Cucchiara argues that the integration of video technology with sensors and other media streams will constitute the fundamental infrastructure for new ...
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Robust abandoned object detection integrating wide area visual surveillance and social context
... Table 2: Aggregate results across all SUBITO sequences comparing the use of all three threat definitions with the ground truth for the owner+group definition... Table 3: Aggregate result[r] ...
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9 Masking Identification Information On Visual Surveillance Systems By Granting Access Permission
... compromise. Surveillance through video analytics is unavoidable in crowded areas and sensitive areas which are considered to be public the public ...Video surveillance systems (VSS) are installed in crowded ...
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IoT based Fire Extinguishing System with Visual Surveillance
... RECEIVING END The receiver section consists of the RF receiver, Arduino, relay drivers, relay, DC gear motors, the flame signal transmitted is received by the RF receiver operating at th[r] ...
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Visual attention model-based multiple target detection in synthetic aperture radar images for autonomous surveillance systems
... autonomous surveillance systems is how to detect multiple targets, sense and percept the world/environment in extreme outdoor conditions in which the presence of dust, fog, rain, changing illumination can ...
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A2Ba: Adaptive Background Modelling for Visual Aerial Surveillance Conditions
... Visual surveillance has become an important task in the last ...video surveillance system. Activities in which visual surveillance is used include protection of strategic facilities, ...
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Fusion of data from visual and low-spatial-resolution thermal cameras for surveillance
... T he optim al pixel labelling is determ ined by a M arkov R andom Field (M RF) model - see Appendix C - and represents the labelling corresponding to th e m axim um of the posterior distribution (i.e. th e probability ...
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Stackelberg Surveillance
... camera surveillance problem, although the attacker’s decision problem is indeed a mixed integer lin- ear program, the defender’s decision problem becomes a non-linear ...
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