منابع مشابه
Airborne Crowd Density Estimation
This paper proposes a new method for estimating human crowd densities from aerial imagery. Applications benefiting from an accurate crowd monitoring system are mainly found in the security sector. Normally crowd density estimation is done through in-situ camera systems mounted on high locations although this is not appropriate in case of very large crowds with thousands of people. Using airborn...
متن کاملAn Approach for Crowd Density and Crowd Size Estimation
Crowd density estimation is very important in intelligent crowd monitoring. In this paper, a new approach of crowed density estimation is proposed. This method combines the advantage of pixel statistical feature and texture analysis, and reduces the impact of perspective distortion by dividing the region of interest. Moreover, we estimate the crowd size (the range of numbers) for high density a...
متن کاملCrowd Density Estimation Using Sparse Texture Features
This paper presents a technique for crowd density estimation in surveillance images, which needs neither individual detection and tracking nor a complex training. This is done by building a set of feature templates for different crowd density scenes, and calculating the similarity between templates and features that are extracted from surveillance video frames. These templates can be selected b...
متن کاملCollaborative Crowd Density Estimation with Mobile Phones
We present a technique for estimating crowd density by using a mobile phone to scan the environment for discoverable Bluetooth devices. The paper builds on previous work directed to using Bluetooth scans to analyse social context and extends it with more advanced features, leveraging collaboration between several close by devices, and the use of relative features that do not directly depend on ...
متن کاملOn Crowd Density Estimation for Surveillance
The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of illumination due to textured brick surface, clothing and changes of weather. Image features were extracted using Grey Level Dependency Matrix,...
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ژورنال
عنوان ژورنال: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2013
ISSN: 2194-9050
DOI: 10.5194/isprsannals-ii-3-w3-49-2013