Open AccessRFDM- An Efficient Method for Video Tracking
Author(s) -
Srikrishna Karanam,
N Kavya,
Karanam Sunil Kumar,
P Kavya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1113.1292s19
Subject(s) - computer vision , artificial intelligence , video tracking , computer science , tracking (education) , feature (linguistics) , task (project management) , identification (biology) , active appearance model , tracking system , object (grammar) , pattern recognition (psychology) , image (mathematics) , engineering , kalman filter , psychology , pedagogy , linguistics , philosophy , botany , systems engineering , biology
Video tracking is a computer vision imperative task. Region-based, feature-based, deformable and model-based (RFDM) tracking algorithms are the four categories of Match-based video tracking type. This survey provides various techniques or methods to object detection, identification and recognition, more light on region-based tracking, dealing with occlusions and overlaps and insufficiencies in model-based tracking and contour model. Finally, various future studies have been recommended at the end of this paper.