Citation to this article as recorded by
Hui, S., S. Kai and H. Qing-Yu, 2011. Fast moving small target tracking based on local background gaussian mixture model. Inform. Technol. J., 10: 1381-1387. CrossRefDirect Link |
Li, C. and Y. Zhao, 2012. Approach of camera relative pose estimation based on epipolar geometry. Inf. Technol. J., 11: 1202-1210. CrossRef |
Song, H., Y. Fu and X. Liu, 2012. An adaptive UKF algorithm for single observer passive location in non-Gaussian environment. Inform. Technol. J., 11: 1251-1257. CrossRefDirect Link |
Citation to this article as recorded by
An efficient real-time target tracking algorithm using adaptive feature fusion Journal of Visual Communication and Image Representation |
Defensive role of Nigella sativa against antituberculosis drugs induced renal toxicity Toxicology Research |
Zearalenone Biodegradation by the Lactobacillus Spp. and Bacillus Spp. In Vitro Folia Veterinaria Vol. 66, Issue 1, 70, 2022 |
Proximate Composition and Microbial level Estimation of some selected roasted/fried food items sold along Nigeria roadsides Malaysian Journal of Halal Research Vol. 4, Issue 2, 31, 2021 |
Evaluation of Country Bean Germplasm Collected from Patuakhali Region Malaysian Journal of Halal Research Vol. 4, Issue 2, 52, 2021 |
Fast Moving Small Target Tracking Based on Local Background Gaussian Mixture Model Information Technology Journal Vol. 10, Issue 7, 1381, 2011 |
Detection of Moving Targets Using Soliton Resonance
Effect Advances in Remote Sensing Vol. 01, Issue 03, 58, 2012 |
How to cite this article
K. S. Kaawaase, F. Chi, J. Shuhong and Q. Bo Ji, 2011. A Review on Selected Target Tracking Algorithms. Information Technology Journal, 10: 691-702.
DOI: 10.3923/itj.2011.691.702
URL: https://scialert.net/abstract/?doi=itj.2011.691.702
DOI: 10.3923/itj.2011.691.702
URL: https://scialert.net/abstract/?doi=itj.2011.691.702