Womenviolences detection techniques using ICT: an review
By: Komte, Ravindra
.
Contributor(s): Nimbhore, Sunil.
Publisher: Haryana IOSR - International Organization of Scientific Research 2022Edition: Vol.24(2), Mar-Apr.Description: 42-48p.Subject(s): Computer EngineeringOnline resources: Click here
In:
IOSR Journal of Computer Engineering (IOSR-JCE)Summary: The rapid growth of Women's violence to monitor human activity demands such a system that recognizes the
violence and suspicious events automatically. Abnormal and violent action detection has become an active
research area of computer vision and image processing to attract new researchers. The relevant literature
presents different techniques for the detection and study of such activities from the tag-based image retrieval
system proposed in recent years. This research study reviews various state-of-the-art techniques of violence
study. Here propose the detection and recognition system of Women's violence and how image tag retrieval is
useful for that. The survey shows the system is useful. While the profusion of visual content available on the
Internet, and the easy access to such content by all users allows us to find relevant content quickly, it also poses
challenges. This paper attempts to address this issue by building models using modern data mining techniques
namely classification trees and random forests to predict the vulnerability of ever-married women of age 15 to
40 years to domestic violence incidents in India.
Violence is a complicated issue that has harmful physical and nonphysical consequences. In this article, we are
particularly investigating violence in intimate partner relationships among homeless youth. This phenomenon
has many contributing factors thus it would be useful to know which of these variables have a more important
role in determining how violent a person can be and also have the means to predict the chance of perpetration
for a new person. The study of past crime data can help us in analyzing crime patterns and important hidden
relations between the crimes. So, the crimes predicting model can be simulated which will study verified past
criminal records and predict future criminal activities. In the recent past, there has been an increased interest in
time series research.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-2084 |
The rapid growth of Women's violence to monitor human activity demands such a system that recognizes the
violence and suspicious events automatically. Abnormal and violent action detection has become an active
research area of computer vision and image processing to attract new researchers. The relevant literature
presents different techniques for the detection and study of such activities from the tag-based image retrieval
system proposed in recent years. This research study reviews various state-of-the-art techniques of violence
study. Here propose the detection and recognition system of Women's violence and how image tag retrieval is
useful for that. The survey shows the system is useful. While the profusion of visual content available on the
Internet, and the easy access to such content by all users allows us to find relevant content quickly, it also poses
challenges. This paper attempts to address this issue by building models using modern data mining techniques
namely classification trees and random forests to predict the vulnerability of ever-married women of age 15 to
40 years to domestic violence incidents in India.
Violence is a complicated issue that has harmful physical and nonphysical consequences. In this article, we are
particularly investigating violence in intimate partner relationships among homeless youth. This phenomenon
has many contributing factors thus it would be useful to know which of these variables have a more important
role in determining how violent a person can be and also have the means to predict the chance of perpetration
for a new person. The study of past crime data can help us in analyzing crime patterns and important hidden
relations between the crimes. So, the crimes predicting model can be simulated which will study verified past
criminal records and predict future criminal activities. In the recent past, there has been an increased interest in
time series research.
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