Abstract
The multi-object tracking method was proposed in this paper effectively using stereo vision. For the multi-object tracking, we present the method to combine the local gradient patterns (LGP) and the depth information for extracting the feature of region of interest (ROI) by the stereo camera. We used the LGP algorithm to get the feature of ROI, and used the difference of depth information between objects to solve the occlusion problem caused the multi-object tracking. Therefore in this paper, the algorithm suggested that the location and size of detected object using background modeling are assigned automatically. Through this experiment, our proposed method is implemented that it performs more precisely than existing methods.
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References
Monnet, A., Mittal, A., Paragios, N., Ramesh V.: “Background modelling and subtraction of dynamic scene”, 1305–1312 (2003)
Stauffer C., Grimson W.E.L.: “Adaptive background mixture models for real-time tracking”. Proc. IEEE. Comput. Soc. Conf. Comput. V. Pattern Recognit. 246–252 (1999)
Jun B., Kim D.: “A compact local binary pattern using maximization of mutual information for face analysis”. Pattern Recognit. (2011)
Stauffer, C., Grimson, W.E.L.: Learning patterns of activity using real-time tracking. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 747–757 (2000)
Frank Dellaert : “The expectation maximization algorithm”, In College of Computing, Georgia Institute of Technology Technical Report number GIT-GVU-02-20(2002)
Theodoridis, S., Koutroumbas, K.: “Pattern recognition (4th edn)”. Academic Press ©2008 (2008)
Fredembach, C., Finlayson, G.: “Simple shadow removal”. Proc. 18th Int. Conf. Pattern Recognit. ICPR’06 (2006)
Cucchiara, R., Grana, C., Piccardi, M.: “Detecting objects, shadow and ghost in video streams by exploiting color and motion information”. In: Proceedings of 11th International Conference on Image Analysis and Processing (2001)
Yacoob, Yaser, Davis, Larry: Segmentation of planar objects and their shadows in motion sequences. Int. J. Comput. V. 67(1), 53–69 (2006)
Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(2011-0011735)
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Lim, HY., Moon, YD., Kang, DS. (2012). The Multi-object Tracking Based on Gradient and Depth Information in the Stereo Vision. In: J. (Jong Hyuk) Park, J., Leung, V., Wang, CL., Shon, T. (eds) Future Information Technology, Application, and Service. Lecture Notes in Electrical Engineering, vol 164. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4516-2_52
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DOI: https://doi.org/10.1007/978-94-007-4516-2_52
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