Traditional research on intelligent video surveillance has primarily focused on video analysis from fixed overhead cameras, where techniques such as background modeling are commonly used for moving object detection. More recently, wearable visual sensors and cameras mounted on aerial and ground vehicles are becoming increasingly accessible in terms of cost and availability, leading to new forms of visual sensing based on moving cameras. For example, dash cams are being mounted in police vehicles for license plate recognition; police officers are starting to use body-worn cameras in patrol operations; and drones are gaining significant popularity in a variety of applications, including law enforcement. These mobile devices are significantly expanding the scope of video surveillance beyond tradition by providing quicker and more effective means of crime fighting, such as wide area surveillance for civil security and crowd surveillance for large gathering and sports events.
In addition to surveillance (oversight), we now have “sousveillance” [http://wearcam.org/veillance.htm] (undersight) where ordinary people take part in visual sensing through the use of wearable/moving cameras. Combining surveillance (oversight) with sousveillance (undersight) gives us a more generalized “veillance” (sight), at the intersection of Wearables, Internet of Things, Smart Cities, and sensing.
The goal of this workshop is to bring together researchers from the area of intelligent video surveillance and the area of video analysis from moving cameras (body cams, dash cams, drones and other UAVs), in order to discuss emerging technology in the intersection of these areas, as well as their societal implications.
Call For Papers
We invite contributions on the topic of visual surveillance, with special emphasis on video analysis from moving cameras. More specifically, topics of interest include, but are not limited to:
- Video analytics for body-worn cameras in law enforcement
- Wearable cameras, .Personal Imaging., sousveillance, and metasensing
- Safety and security systems based on moving cameras
- Video summarization, search and retrieval on moving cameras
- Vehicle classification and license plate recognition from dash cameras
- Video analytics for surveillance drones
- Anomaly detection based on mobile visual sensors
- Multiple sensor fusion
- Crowd analysis based on moving cameras
- Object detection, tracking, and classification from moving cameras
- Humanistic Intelligence (HI) and veillance integrity
- Privacy and social implications
We invite submissions of original papers (maximum of 8 pages, using the CVPR 2016 format). Accepted submissions will be presented as oral talks or posters at the workshop. All submissions are subject to a double-blind review process by the program committee.
|Marco Cristani||University of Verona|
|Chung-Ching Lin||IBM Research|
|Lisa Brown||IBM Research|
|Sharath Pankanti||IBM Research|
|Senem Velipassalar||Syracuse University|
|YingLi Tian||City University of New York|
|Ryan Lane||Queen Mary University of London|
|James Davis||Ohio State University|
|Brandon Rothrock||Jet Propulsion Laboratory|
|Peter Tu||GE Global Research|
|Raymond Yun Fu||Northeastern University|
|Tao Xiang||Queen Mary University of London|
|Hao Jiang||Boston College|
|Fatih Porikli||Australian National University|
|Ryan Janzen||University of Toronto|