Paper Info
Title
Violent Material Detection System
Abstract
the paper presents the automatic detection of a violent object observed in a video. The approach can be applied on certain institutions like educational, restricted areas, banks and any other crowded place where the chance of violent behavior may occur. Artificial Intelligence is used to detect such objects depending upon the number of taken positive and negative images of that particular object to train the data but probability of best accuracy rate depends upon the taken positive and negative images i.e.(more the positive and negative images more will be the accuracy). Haar Casscade Classifier technique is implemented and the results were quiet impressive.
Year
DOI
Venue
2018
10.1145/3231053.3231123
ICFNDS'18: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND DISTRIBUTED SYSTEMS
Keywords
Field
DocType
CCTV (closed circuit television), DVR (digital video recorder), SVM (support vector machine), ROI (region of interest)
QUIET,Computer vision,Haar,Computer science,Artificial intelligence,CCTV - Closed circuit television,Classifier (linguistics)
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Khurram Shahzad116525.77
Abdul Moiz200.34
Usman Ahmed3116.89
Syed Jawad Hussain401.01
Khalid Hussain5114.03
Ahthasham Sajid664.24