Home Articles List Article Information
JES. Journal of Engineering Sciences
Journal Archive
Volume Volume 52 (2024)
Volume Volume 51 (2023)
Volume Volume 50 (2022)
Volume Volume 49 (2021)
Volume Volume 48 (2020)
Volume Volume 47 (2019)
Volume Volume 46 (2018)
Volume Volume 45 (2017)
Volume Volume 44 (2016)
Volume Volume 43 (2015)
Volume Volume 42 (2014)
Volume Volume 41 (2013)
Volume Volume 40 (2012)
Volume Volume 39 (2011)
Volume Volume 38 (2010)
Volume Volume 37 (2009)
Volume Volume 36 (2008)
Volume Volume 35 (2007)
Volume Volume 34 (2006)
Mohamed, A., Ali, M. (2014). MEAN SHIFT-BASED OBJECT TRACKING USING PROPER COLOR SPACE CHANNEL. JES. Journal of Engineering Sciences, 42(No 1), 199-215. doi: 10.21608/jesaun.2014.114301
Ahmed Nabil Mohamed; Mohamed Moness Ali. "MEAN SHIFT-BASED OBJECT TRACKING USING PROPER COLOR SPACE CHANNEL". JES. Journal of Engineering Sciences, 42, No 1, 2014, 199-215. doi: 10.21608/jesaun.2014.114301
Mohamed, A., Ali, M. (2014). 'MEAN SHIFT-BASED OBJECT TRACKING USING PROPER COLOR SPACE CHANNEL', JES. Journal of Engineering Sciences, 42(No 1), pp. 199-215. doi: 10.21608/jesaun.2014.114301
Mohamed, A., Ali, M. MEAN SHIFT-BASED OBJECT TRACKING USING PROPER COLOR SPACE CHANNEL. JES. Journal of Engineering Sciences, 2014; 42(No 1): 199-215. doi: 10.21608/jesaun.2014.114301

MEAN SHIFT-BASED OBJECT TRACKING USING PROPER COLOR SPACE CHANNEL

Article 12, Volume 42, No 1, January and February 2014, Page 199-215  XML PDF (576.69 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2014.114301
View on SCiNiTO View on SCiNiTO
Authors
Ahmed Nabil Mohamed1; Mohamed Moness Ali2
1Assistant Lecturer, Department of Computer and Information Systems, Sadat Academy
2Professor, Department of Computers and Systems, Engineering Faculty, Minia University
Abstract
Color features show robustness against many variations such as translation, rotation, viewpoint
change, partial occlusion, low resolution, pose variations, etc. Thus, they are considered effective
cues for object representation and are widely employed for visual tracking. Mean shift algorithm is
a robust non parametric technique that is used for estimating the gradient of a density function. It is
employed widely as a fast and robust object tracker that can utilize any feature space such as the
color space. In this article, we present a simple but rather effective enhancement to the mean shift
algorithm to distinguish an object from its background by using a proper color space channel that is
selected according to the region of interest.
Keywords
Color Space; Histogram; Mean Shift; Object Tracking
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
Statistics
Article View: 82
PDF Download: 198