A survey on visual object tracking based on biologically inspired tracker

  • Authors

    • K Bhuvaneshwari
    • Dr D. Akila
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.15485
  • Appearance, Models, Target, Tracking.
  • Visual tracking is the way towards finding, recognizing and deciding the dynamic design of one or numerous moving(potentially deforma-ble) protests (or parts of items) in each casing of one or a few cameras. To build a general tracking system, the recent progress in represen-tation of image, shape, object, target, appearance model and motion model are briefly reviewed in this paper. For following the single target or the various targets the models that is inspected here is basic enough to be applied. The appearance model which is trending in recent time given a special attention. The key techniques and the factors which is tedious for the tracker to find the object appearance changes are camera motion, illumination variation, shape deformation and partial occlusion is discussed. For tracking -by-detection and on-line boosting methods we see that the state-of-the-art performs well (e. g TLD, Online Boost, MIL-Track,). Hence, based on this we check them together for a single person tracking.

     

     


     
  • References

    1. [1] Yilmaz, A., Javed, O., and Shah, M. 2006,†Object tracking: A surveyâ€, ACM Comput. Surv.38, 4, Article 13 (Dec 2006).

      [2] Xi Li2;1, Weiming Hu2, Chunhua Shen1, Zhongfei Zhang3, Anthony Dick1, Anton van den

      [3] Hengel1,â€A Survey of Appearance Models in Visual Object Trackingâ€, Volume 4 Issue 4, Article No. 58 September 2013.

      [4] K. Cannons, “A review of visual tracking,†Dept. Comput. Sci. Eng., York Univ., Toronto, ON, Canada, Tech. Rep. CSE-2008-07, 2008.

      [5] A. W. M. Smeulders, D. M. Chu, R. Cucchiara, S. Calderara, A. Dehghan, and M. Shah, “Visual tracking: An experimental survey,†IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 7, pp. 1442–1468, Jul. 2014.

      [6] B. Efros,†Adaptive Color Space Switching for Face Tracking in Multi Colored Lighting Environmentsâ€, In FG, 2002.

      [7] H. Nguyen and A. Smeulders,†Robust Tracking using Foreground Background Texture Discriminationâ€, IJCV, 69(3): 277-293, 2006.

      [8] VEENMAN, C., REINDERS, M., AND BACKER, E., â€Resolving motion correspondence for densely moving pointsâ€, IEEE Trans. Patt. Analy. Mach. Intell.23, 1, 54–72, 2001.

      [9] SERBY, D., KOLLER-MEIER, S., AND GOOL, L. V,â€Probabilistic object tracking using multiple featuresâ€, In IEEE International Conference of Pattern Recognition (ICPR). 184–187, 2004.

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  • How to Cite

    Bhuvaneshwari, K., & D. Akila, D. (2018). A survey on visual object tracking based on biologically inspired tracker. International Journal of Engineering & Technology, 7(2.33), 730-733. https://doi.org/10.14419/ijet.v7i2.33.15485