Review of Various Object Detection and Anomaly Detection Techniques

Journal: GRENZE International Journal of Engineering and Technology
Authors: Amrutasagar Kavarthapu, Pokkuluri Kiran Sree, D Rajya Lakshmi
Volume: 10 Issue: 1
Grenze ID: 01.GIJET.10.1.222 Pages: 2778-2786

Abstract

Object detection in surveillance videos is challenging task whenever the objects are similar to other objects and overlapped with each other. Sometimes objects may be masked or cover with any transparent or non transparent material. Due to coverage of objects with opaque materials, object detection becomes difficult. Once object have been identified, it is require to recognize such object leads to any anomaly in that particular environment or not. There is huge demand for intelligent systems with the capability of automatically identifying anomalous situations or objects in an environment present in videos. Due to this, a wide range of approaches have been proposed to build an effective system that would ensure public security. Intension of this article is to specify various Object detection and Anomaly detection techniques

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