Tracking Multiple Fish in a Single Tank Using an Improved Particle Filter
作者： Wong Poh Lee , Mohd Azam Osman , Abdullah Zawawi Talib , Jean-Marc Ogier , Khairun Yahya
DOI: 10.1007/978-3-642-41674-3_114
关键词: Artificial intelligence 、 Cache 、 Tracking (particle physics) 、 Track (disk drive) 、 Computer science 、 Tracking system 、 Process (computing) 、 Computer vision 、 Particle filter 、 Position (vector) 、 Image processing
摘要: Studies on tracking fishes have become a popular research endeavour in recent years. Many methods been used to track by integrating microchips fishes, using infra-red cameras, image processing and motion sensor. The use of particle filter the process has widely researchers. Particle filters is people, fluid movement animals. In this paper, algorithm improved multiple fish tank. aim identify every trajectories target location for further analysis. main challenge ensure that correct are tracked manages specific even if they overlaps with each another. objective study improve existing single contains an additional cache which stores object’s position estimate next potential move fish. result evaluated comparing without enhancement algorithm. Besides, suggestions improving will also be discussed paper.
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sci-hub.st 参考文章(8)
Poh Lee Wong, Mohd Azam Osman, Abdullah Zawawi Talib, Khairun Yahya, Modelling of Fish Swimming Patterns Using an Enhanced Object Tracking Algorithm ICFCE. pp. 585- 592 ,(2012) , 10.1007/978-3-642-27552-4_79
E.B. Meier, F. Ade, Tracking cars in range images using the CONDENSATION algorithm international conference on intelligent transportation systems. pp. 129- 134 ,(1999) , 10.1109/ITSC.1999.821040
Esther B. Koller-Meier, Frank Ade, Tracking multiple objects using the Condensation algorithm Robotics and Autonomous Systems. ,vol. 34, pp. 93- 105 ,(2001) , 10.1016/S0921-8890(00)00114-7
Yui Man Lui, J. Ross Beveridge, L. Darrell Whitley, A Novel Appearance Model and Adaptive Condensation Algorithm for Human Face Tracking international conference on biometrics theory applications and systems. pp. 1- 7 ,(2008) , 10.1109/BTAS.2008.4699372
Hae Yong Kim, Joceli Mayer, Multiple Mice Tracking using a Combination of Particle Filter and K-Means brazilian symposium on computer graphics and image processing. pp. 173- 178 ,(2007) , 10.1109/SIBGRAPI.2007.31
C. Mariño, M. Ortega, N. Barreira, M.G. Penedo, M.J. Carreira, F. González, Algorithm for registration of full Scanning Laser Ophthalmoscope video sequences Computer Methods and Programs in Biomedicine. ,vol. 102, pp. 1- 16 ,(2011) , 10.1016/J.CMPB.2010.12.001
Michael Isard, Andrew Blake, C ONDENSATION —Conditional Density Propagation forVisual Tracking International Journal of Computer Vision. ,vol. 29, pp. 5- 28 ,(1998) , 10.1023/A:1008078328650
Tomasz Pinkiewicz, Ray Williams, John Purser, Application of the Particle Filter to Tracking of Fish in Aquaculture Research digital image computing: techniques and applications. pp. 457- 464 ,(2008) , 10.1109/DICTA.2008.28