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Video Surveillance of Medication Intake

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
In the context of the growing proportion of seniors in the western world population and the efforts provided in home care services, we have developed a computer vision system for monitoring medication intake. The system detects automatically medication intake using a single low-cost webcam.
Myriam Valin   +3 more
openaire   +2 more sources

Affordances in Video Surveillance

2015
This paper articulates the concept of affordances use as the building block of an automated video surveillance system which learns and evolves over time. It grounds its arguments on the basis of a visual attention hardware and affordances.
Agheleh Yaghoobi   +2 more
openaire   +1 more source

Unsupervised Video Surveillance

2011
This paper addresses the problem of automatically learning common behaviors from long time observations of a scene of interest, with the purpose of classifying actions and, possibly, detecting anomalies. Unsupervised learning is used as an effective way to extract information from the scene with a very limited intervention of the user.
NOCETI, NICOLETTA, ODONE, FRANCESCA
openaire   +2 more sources

Anomaly Detection in Surveillance Videos

2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW), 2019
Every public or private area today is preferred to be under surveillance to ensure high levels of security. Since the surveillance happens round the clock, data gathered as a result is huge and requires a lot of manual work to go through every second of the recorded videos. This paper presents a system which can detect anomalous behaviors and alarm the
Anala M. R.   +2 more
openaire   +2 more sources

Semantic video event search for surveillance video

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011
We present a distributed framework of understanding, indexing, and searching complex events from large amounts of surveillance video content. Video events and relationships between scene entities are represented by Spatio-Temporal And-Or Graphs (ST-AOG) and inferred in a distributed computing system using a bottom-up top-down strategy.
Tae Eun Choe   +5 more
openaire   +1 more source

Video Surveillance

2011
no ...
Luvison, B.   +4 more
openaire   +3 more sources

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, 2006
We 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
openaire   +1 more source

VTrack: Video analytics for automatic video-surveillance

2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2011
Summary 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
openaire   +2 more sources

GIS-augmented video surveillance

International Journal of Geographical Information Science, 2010
Registration 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
openaire   +1 more source

Classification of Ships in Surveillance Video

2006 IEEE International Conference on Information Reuse & Integration, 2006
Object 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
openaire   +1 more source

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