2019
DOI: 10.5120/ijca2019918470
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A Comparative Study of different Oject Tracking Methods in a Video

Abstract: Visual Object Tracking (VOT) is the most salient and an ongoing exploration field amongst the several disciplines of computer vision. The importance of this technology is due to the extensive range of applications such as robot navigation, human computer interaction, video surveillance, etc. The process of object tracking involves segmenting areas of a video scene and tracking its position, motion and occlusion. However, problems can appear during tracking on account of multiple issues including camera motion,… Show more

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Cited by 3 publications
(2 citation statements)
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“…In [12], the authors are including an examination object detection method, object representation, and feature selection, and object tracking over many frames. By comparing seven different techniques (Kalman Filter [13], Particle Filte[14]r, Mean shift [7], CamShift [15], KLT tracker [16], template matching [17], Contour Tracking [18]) relied on number of object tracked, occlusion handling, optimal or not.…”
Section: Related Workmentioning
confidence: 99%
“…In [12], the authors are including an examination object detection method, object representation, and feature selection, and object tracking over many frames. By comparing seven different techniques (Kalman Filter [13], Particle Filte[14]r, Mean shift [7], CamShift [15], KLT tracker [16], template matching [17], Contour Tracking [18]) relied on number of object tracked, occlusion handling, optimal or not.…”
Section: Related Workmentioning
confidence: 99%
“…Researchers used this method vastly in page-turning and score-following studies [32]. The accuracy of object detection function is highly dependent on video recording equipment, and any vibration of cameras or changing the distance to moving objects can affect results [43].…”
Section: Video Processing Limitationsmentioning
confidence: 99%