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  1. Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis (MPVA '10)
  2. Spatial-temporal understanding of urban scenes through large camera network
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Image-based indoor positioning system: fast image matching using omnidirectional panoramic images
Real time multiple people tracking and pose estimation
Video narrative authoring with motion inpainting
Efficient person identification using active cameras in a smartroom
Learning local features for age estimation on real-life faces
Spatial-temporal understanding of urban scenes through large camera network
3d gesture recognition applying long short-term memory and contextual knowledge in a CAVE
Space speaks: towards socially and personality aware visual surveillance
Modeling and recognition of complex multi-person interactions in video
Learning human pose in crowd
Video topic modelling with behavioural segmentation

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Spatial-temporal understanding of urban scenes through large camera network

Content Provider ACM Digital Library
Author De Leo, Carter Xu, Jiejun Manjunath, Bangalore Kuo, Thomas Ni, Zefeng
Abstract Outdoor surveillance cameras have become prevalent as part of the urban infrastructure, and provided a good data source for studying urban dynamics. In this work, we provide a spatial-temporal analysis of 8 weeks of video data collected from the large outdoor camera network at UCSB campus, which consists of 27 cameras. We first apply simple vision algorithm to extract the crowdedness information in the scene. Then we further explore the relationship between the traffic pattern observed from the cameras with activities in the nearby area using additional knowledge such as campus class schedule. Finally we investigate the potential of discovering aggregated human movement pattern by assuming a simple probabilistic model. Experiment has shown promising results using the proposed method.
Starting Page 29
Ending Page 32
Page Count 4
File Format PDF
ISBN 9781450301671
DOI 10.1145/1878039.1878046
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Cross-modal correlation Sensing Camera network
Content Type Text
Resource Type Article
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