Project description:
In the last years, efforts in computer vision
have allowed researchers to have robust and versatile detectors that can be
now used as components in many different applications. Two well-known
examples are face and person detectors, which are available in open-source
computer vision libraries. On the other hand, the increasing rate of video
content generation and the availability of more computing power have led to
the development of action recognition in video. Most of the previous work on
action recognition focuses on simple human actions like walking, jumping or
hand waving. Despite its potential usefulness, violent action detection has
been less studied.
This project aims at
developing a violence detector that is as robust and versatile as available
face and person detectors. A violence detector has immediate applicability
both in the surveillance domain (prisons, eldercare facilities, sport
fields, conflictive underground stations and even for mobile cameras that
may be sold to teenagers) and for rating/tagging online video content.
This project also aims
at adopting a new implementation methodology which we consider more
appropriate for videosurveillance applications. Instead of placing more
importance on detection capacity, the methodology is based on controlling
false alarms, which is what ultimately determines acceptability of the
detection system. To this end, we propose a novel method for generating a
cascade of classifiers based upon false positives gathered in the specific
scenario where the detector is deployed.
News:
- "Fast Fight Detection" accepted in PLoS ONE
- "Fast Violence Detection in Video", accepted in VISAPP
2014
- "False positive reduction in detector implantation",
accepted in AIME 2013
- "VISILAB at MediaEval 2013: Fight detection", accepted in
MediaEval 2013
Multimedia Benchmark Workshop
- Our Hockey fight video dataset is already being used by
other researchers for comparing violence/fight detectors! See
Violent Flows: Real-Time Detection of Violent Crowd Behavior.
- The Principal Researcher has been invited to an
AAAI Spring
Symposium 2013 (Stanford, March 25-27, 2013) to give a
talk about Fight Detection
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