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Review Paper on Object Tracking For Single and Multi-Objects by Using Various Algorithm

File Size:
1.38 MB
Volume:
Volume 5, Issue 8 (August 2019)
Publication No:
IJTC201908001
Author:
Er.Jasdeep Singh, Gurpreet Kaur
Downloads:
9 x

Abstract:
Object tracking is a fundamental and challenging problem in the fields of computer vision and graphics .It is a excellent-studied problem in the the area of image processing. This paper deals with the non-trivial problems of the performance evaluation of tracking. The purpose of this study is to examine, evaluate, and make a summary of the most common object tracking methods. In this paper, there is review of various object tracking process is conferred. Which is including selection of object represented and various methods of tracking the objects. A summary of numerous object tracking methods is collected in this paper.

Keywords:
key point tracking, context modeling, structure learning, multi-task learning, metric learning, SIFT algorithm