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Clustering of local behaviour in crowd videos
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014Surveillance cameras are playing more important role in our daily life with the increasing number of human population and surveillance cameras. While there are a myriad of methods for video analysis, they are generally designed for low-density areas. Running of these algorithms in crowded areas would not give expected results and results in high number
Cihan Ongun +2 more
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Localizing the Gaze Target of a Crowd of People
2019What target is focused on by many people? Analysis of the target is a crucial task, especially in a cinema, a stadium, and so on. However, it is very difficult to estimate the gaze of each person in a crowd accurately and simultaneously with existing image-based eye tracking methods, since the image resolution of each person becomes low when we capture
Yuki Kodama +7 more
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Crowd Abnormality Detection and Localization
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing, 2014Abnormality detection in crowded scenes plays a very important role in automatic monitoring of surveillance feeds. Here we present a novel framework for abnormality detection in crowd videos. The key idea of the approach is that rarely or sparsely occurring events correspond to abnormal activities while the commonly occurring events correspond to the ...
Vikas Gupta, Soma Biswas
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The Journal of Physical Chemistry B
Every residue on a protein can be characterized by its interaction with water, in lack or in excess, as water is the matrix of biological systems. Infrared spectroscopy and the implementation of local azidohomoalanine (AHA) probes allow us to move beyond an ensemble or surface-driven conceptualization of water behavior and toward a granular, site ...
Joseph C. Shirley, Carlos R. Baiz
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Every residue on a protein can be characterized by its interaction with water, in lack or in excess, as water is the matrix of biological systems. Infrared spectroscopy and the implementation of local azidohomoalanine (AHA) probes allow us to move beyond an ensemble or surface-driven conceptualization of water behavior and toward a granular, site ...
Joseph C. Shirley, Carlos R. Baiz
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Spatiotemporally localized new event detection in crowds
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011The behavior of crowds is of interest in many applications, but difficult to analyze due to the complexity of the activities taking place, the number of people moving in the scene and occlusions occurring between them. This work focuses on the problem of detecting new events in crowds using an original approach that is based on properties of the data ...
Alexia Briassouli, Ioannis Kompatsiaris
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Priority driven Local Optimization for Crowd Simulation
International Joint Conference on Autonomous Agents and Multiagent Systems, 2019We provide an initial model and preliminary findings of a lookahead based local optimization scheme for collision resolution between agents in large goal-directed crowd simulations. Considering crowd simulation to be a global optimization problem, we break down this large problem into smaller problems where each potential collision resolution step is ...
Himangshu Saikia +2 more
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Accurate indoor localization based on crowd sensing
2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016Indoor localization is an important primitive that can enable many ubiquitous computing applications. In this paper, we choose the iBeacon as landmark and improve the localization scheme of iBeacon and inertial navigation through crowd sensing. Specifically, we use crowd sensing to design a parameter learning algorithm for device diversity. Furthermore,
Yingying Guo, Yatao Li, Yan Sun 0004
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Video Anomaly Detection and Localization in Crowded Scenes
2019Nowadays, the analysis of abnormal events becomes more and more exhausting due to the divine use of surveillance cameras. This paper proposes a novel approach to predict and localize anomaly events. In this paper, a new framework for motion extraction called BQM is proposed. Then, the regions of interest are extracted and a filtering process is applied
Mariem Gnouma +2 more
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The crowding-in effects of local government debt in China
Journal of Monetary EconomicsWe study how changes in the composition of Chinese local government debt influenced bank risk taking, credit allocation, and local productivity. Using confidential loan-level data and a difference-in-difference identification approach, we show that a debt-to-bond swap program for local governments implemented in 2015 significantly increased bank risk ...
Xiaoming Li +3 more
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Bug localization via searching crowd-contributed code
Proceedings of the 6th Asia-Pacific Symposium on Internetware on Internetware, 2014Bug localization, i.e., locating bugs in code snippets, is a frequent task in software development. Although static bug-finding tools are available to reduce manual effort in bug localization, these tools typically detect bugs with known project-independent bug patterns. However, many bugs in real-world code snippets are project-specific.
Qianxiang Wang, Xuan Li
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