A Survey on Moving Object Detection and Tracking Based On Background Subtraction
Author(s) -
Rahul Dutt Sharma,
S. Gupta
Publication year - 2018
Publication title -
the oxford journal of intelligent decision and data science
Language(s) - English
Resource type - Journals
ISSN - 2366-9934
DOI - 10.5899/2018/ojids-00041
Subject(s) - background subtraction , computer vision , tracking (education) , artificial intelligence , computer science , object detection , video tracking , object (grammar) , foreground detection , computer graphics (images) , pattern recognition (psychology) , psychology , pixel , pedagogy
Detecting Moving object is a task to identify the motion of objects in a specific region/area. Over the last some years, moving object detection has received much attention due to its wide range of applications like human motion analysis, event detection, video surveillance, robot navigation, anomaly detection, traffic analysis and security, video conferencing etc. Video surveillance systems mostly deal with the tracking and classification of moving objects. The most common processing steps of motion detection for video surveillance includes detection of motion, modeling of environment, classification and object detection, behavior understanding and activity recognition. The main aim of this paper is to review recent developments and to analyze the open direction in visual surveillance systems for near future.
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