Crowd density
On Crowd Density Estimation for Surveillance
... measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd ...of density by using a Self Organizing ...measuring crowd density ...
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Crowd Density Estimation using Image Processing
... The key point mentioned here is taking 5 fps (frames per second) to see the changes in field as well as to reduce complex calculations. Support Vector Machine (SVM) is used to do learning and classification. Since SVM ...
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Crowd Density Estimation based on Improved Harris & OPTICS Algorithm
... the density of people in a strategic place at a given time has increased greatly over the ...the crowd density and do the necessary ...medium density clustering method toextract feature points ...
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AMID Based Crowd Density Estimation
... a crowd is estimated, but this method may fail if the observed area is much crowded and only a few heads can be ...calculating crowd density a Support Vector Machine is ...
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Feature Descriptor for Crowd Density Estimation
... for crowd density estimation. For estimating crowd density estimation, we first divide the image into ...on crowd density ...
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Probing crowd density through smartphones in city-scale mass gatherings
... Methods to obtain on-device location information include GPS positioning and WiFi/ GSM-fingerprinting []. With these approaches a location accuracy of up to m can be obtained for GPS and around m for WiFi-based ...
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Crowd density analysis and tracking
... The crowd monitoring is vital towards avoidance of crowd ...at crowd areas that can map crowd density and track people giving rise to early warning ...
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Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach
... for crowd density ...large crowd, the error of estimation of the den- sity per square meter will ...the crowd size increases, because for a regu- lar concert crowd, the group size is ...
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The influence of crowd density on the sound environment of commercial pedestrian streets
... the crowd density was lower or greater than a certain value, approximately ...the crowd density is low, is that in a commercial pedestrian street, people appear to prefer a lively environment, ...
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Regression Based Crowd Density Estimation
... the crowd counting system appears in Figure ...into crowd regions moving in different directions, using a mixture of dynamic ...each crowd segment, various features are extracted, while applying a ...
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Tracking Individual Targets in High Density Crowd Scenes Analysis of a Video Recording in Hajj 2009
... the density behaviour on the Mataf area at different times during the day, before and after the prayer, and we compared this density with the simulation density ...registered density was 7 to ...
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Energy Conservation In Commercial Places Based On Real Time Occupancy Detection
... the crowd density level at indoor environments such as auditoriums, showrooms, supermarkets and calculating the exact cooling capacity required as per the guidelines given by Energy Star [8] and Natural ...
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Different Techniques for Mob Density Evaluation
... many crowd disasters had taken place due to lack of crowd control ...Appropriate crowd control and its management is required to avoid crowd related disasters caused by large gathering of ...
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Crowd Counting in Images via DSMCNN
... In this paper, we propose a Dilated Stacked Multi-column Convolutional Neural Network (DSMCNN) model to estimate crowd density distribution and crowd count accurately in images from different scenes ...
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Challenges of Deep Learning for Crowd Analytics
... on crowd analytics, many of existing methods are problem-specific, ...scene crowd analytics with traditional and deep learning ...different crowd videos and ...to crowd density ...
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DESIGN AND IMPLIMENTATION OF NOVEL APPROACH FOR TRAFFIC CONTROL SYSTEM
... In our traffic control scenario we have seen that set a timining for release the traffic. In that system give the chance each and every road for release the traffic whether the road having maximum weight or having ...
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Crowd Anomaly Detection Using Standardized Modeled Input.
... Abstract: A variety of techniques exist for tracking and detection of pedestrian traffic.The “proof of concept” or the utility of these methods is often illustrated by analysis of a video or photographs produced by the ...
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Query Methodology for Advanced Structured Using Crowd sourcing Systems
... multiple crowd sourcing ...real crowd demonstrate the effectiveness of our query optimizer and validate our cost model and latency ...real crowd demonstrate the effectiveness of our query optimizer ...
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The generation of problem-focussed patent clusters : a comparative analysis of crowd intelligence with algorithmic and expert approaches
... The workflow for distributing patent clustering tasks is depicted in Figure 6. The platform facilitates the presentation of the patent abstract and image in such a way that workers can easily group, label and rank ...
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ENSEMBLE SELECTION AND OPTIMIZATION BASED ON SOFT SET THEORY FOR CUSTOMER CHURN CLASSIFICATION
... to the event occurs continuously without a time limit or constraint. As people come and goes replacing the person who left the place. People or agents in Zahmah also have a diverse demographic background since they all ...
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