Model
Digital Document
Publisher
Florida Atlantic University
Description
In the past few years, violence detection has become an increasingly rele-
vant topic in computer vision with many proposed solutions by researchers. This
thesis proposes a solution called Criminal Aggression Recognition Engine (CARE),
an OpenCV based Java implementation of a violence detection system that can be
trained with video datasets to classify action in a live feed as non-violent or violent.
The algorithm extends existing work on fast ght detection by implementing violence
detection of live video, in addition to prerecorded video. The results for violence
detection in prerecorded videos are comparable to other popular detection systems
and the results for live video are also very encouraging, making the work proposed in
this thesis a solid foundation for improved live violence detection systems.
vant topic in computer vision with many proposed solutions by researchers. This
thesis proposes a solution called Criminal Aggression Recognition Engine (CARE),
an OpenCV based Java implementation of a violence detection system that can be
trained with video datasets to classify action in a live feed as non-violent or violent.
The algorithm extends existing work on fast ght detection by implementing violence
detection of live video, in addition to prerecorded video. The results for violence
detection in prerecorded videos are comparable to other popular detection systems
and the results for live video are also very encouraging, making the work proposed in
this thesis a solid foundation for improved live violence detection systems.
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