ViCoMo: visual context modeling for scene understanding in video surveillance

نویسندگان

  • Ivo M. Creusen
  • Solmaz Javanbakhti
  • Marijn J. H. Loomans
  • Lykele B. Hazelhoff
  • Nadejda Roubtsova
  • Svitlana Zinger
  • Peter H. N. de With
چکیده

The use of contextual information can significantly aid scene understanding of surveillance video. Just detecting people and tracking them does not provide sufficient information to detect situations that require operator attention.We propose a proof-of-concept system that uses several sources of contextual information to improve scene understanding in surveillance video. The focus is on two scenarios that represent common video surveillance situations, parking Paper 13209SS received Apr. 17, 2013; revised manuscript received Jul. 30, 2013; accepted for publication Aug. 20, 2013; published online Sep. 24,

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

overview of ways to enhance the security of video surveillance networks using blockchain

In recent decades, video surveillance systems have an increasing development that are used to prevent crime and manage facilities with rapid diffusion of  (CCTV)cameras to prevent crime and manage facilities. The video stored in the video surveillance system should be managed comfortably, but sometimes the movies are leaking out to unauthorized people or by unauthorized people, thus violating i...

متن کامل

Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance

The final goal for many visual surveillance systems is automatic understanding of events in a site. Higher level processing on video data requires certain lower level vision tasks to be performed. One of these tasks is the segmentation of video data into regions that correspond to objects in the scene. Issues such as automation, noise robustness, adaptation, and accuracy of the model must be ad...

متن کامل

A Survey on Human Motion Detection and Surveillance

Over years detecting human beings in a video scene of a surveillance system is one of the most active research topics in computer vision. This interest is driven by wide applications in many areas such as virtual reality, smart surveillance and perceptual interface, human gait characterization person counting in a dense crowd, person identification, gender classification, and fall detection for...

متن کامل

Traffic Scene Analysis using Hierarchical Sparse Topical Coding

Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and successful unsupervised methods for complex traffic scene analysis is based on topic models. In this pa...

متن کامل

Activity understanding and unusual event detection in surveillance videos

Computer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems. As video surveillance cameras become ubiquitous, there is a surge in studies on automated activity understanding and unusual event detection in surveillance videos. Nevertheless, video content analysis in public scenes remained a formidable challen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • J. Electronic Imaging

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2013