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A Study on Computer Vision Systems for Real-Time Object Detection and Tracking
Author(s) -
Daniel Mohammed,
Anthony Francis
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017915484
Subject(s) - computer science , computer vision , object (grammar) , artificial intelligence , tracking (education) , video tracking , human–computer interaction , real time computing , computer graphics (images) , psychology , pedagogy
Computer Vision (CV) concentrates on the automatic extraction, examination and comprehension of valuable data from a solitary image or a group of images. Object tracking, one of the key areas in CV has received a lot of attenstion in recent times. Tracking objects is a systematic process of monitoring the movement of a target object from its initial state to the n state over a period of time using a camera. This technique is usually employed as a security feature in both military and civilian systems. However, prior studies has shown that tracking objects in motion is a very difficult task and is a hot research hotspot in the field of computer vision and machine learning. In this review paper we discuess various techniques in detection, tracking and some other related works of moving objects in video streams.

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