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Privacy in video surveilled areas
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services, 2006We present a system prototype for self-determination and privacy enhancement in video surveilled areas by integrating computer vision and cryptographic techniques into networked building automation systems. This paper describes research work that has been done within the first half of the collaborative blue-c-II project and is conducted by an ...
Torsten Spindler +5 more
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VTrack: Video analytics for automatic video-surveillance
2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2011Summary form only given. TENCON delegates are invited to attend the following tutorial sessions, free of charge, which will be held at the USC Engineering Audio Visual Room, University of San Carlos - Talamban Campus on November 19, 2012. Tutorial 1: Recent Advances in Robotics and Emerging Opportunities.
S. de Titta, G. Gera, L. Marcenaro
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GIS-augmented video surveillance
International Journal of Geographical Information Science, 2010Registration in augmented reality is a process that merges virtual objects generated by a computer with real-world images captured by a camera. In this article, we present a method for registration of geospatial data applicable to outdoor video surveillance systems consisting of several PTZ cameras.
Aleksandar Milosavljevic +2 more
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Classification of Ships in Surveillance Video
2006 IEEE International Conference on Information Reuse & Integration, 2006Object classification is an important component in a complete visual surveillance system. In the context of coastline surveillance, we present an empirical study on classifying 402 instances of ship regions into 6 types based on their shape features. The ship regions were extracted from surveillance videos and the 6 types of ships as well as the ground
Qiming Luo +2 more
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Adaptive Video Compression for Video Surveillance Applications
2011 IEEE International Symposium on Multimedia, 2011This article describes an approach to adaptive video coding for video surveillance applications. Using a combination of low-level features with low computational cost, we show how it is possible to control the quality of video compression so that semantically meaningful elements of the scene are encoded with higher fidelity, while background elements ...
BAGDANOV, ANDREW DAVID +3 more
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Middleware for video surveillance networks
Proceedings of the international workshop on Middleware for sensor networks, 2006Automated video surveillance networks are a class of sensor networks with the potential to enhance the protection of facilities such as airports and power stations from a wide range of threats. However, current systems are limited to networks of tens of cameras, not the thousands required to protect major facilities. Realising thousand camera automated
Henry Detmold +5 more
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Time Scales in Video Surveillance
IEEE Transactions on Circuits and Systems for Video Technology, 2008Events in surveillance video occur over many time scales, but common approaches to background subtraction and video representation are implicitly based on a single temporal scale. In this work, we derive a set of causal filters which define a temporal scale-space representation for the activity at each pixel.
Nathan Jacobs, Robert Pless
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2015
Pervasive usage of video surveillance is rapidly increasing in developed countries. Continuous security threats to public safety demand use of such systems. Contemporary video surveillance systems offer advanced functionalities which threaten the privacy of those recorded in the video.
Qasim Mahmood Rajpoot +1 more
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Pervasive usage of video surveillance is rapidly increasing in developed countries. Continuous security threats to public safety demand use of such systems. Contemporary video surveillance systems offer advanced functionalities which threaten the privacy of those recorded in the video.
Qasim Mahmood Rajpoot +1 more
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Path detection in video surveillance
Image and Vision Computing, 2002Abstract This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the accumulation of trajectory data over long time periods, and can be used to augment the classification of subsequent track data.
Dimitrios Makris 0001, Tim Ellis
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HUMAN DETECTION IN SURVEILLANCE VIDEO
International Journal of Pattern Recognition and Artificial Intelligence, 2014In this paper, we propose an integrated approach for human detection in surveillance video. In our approach, the moving object is extracted by background subtraction; and the background model is updated by the first-order recurrence filter. Then, two complementary features are extracted for moving object classification.
Liang-Hua Chen, Li-Yun Wang, Chih-Wen Su
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