On quality of object tracking algorithms

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Object movement on a video is classified on the regular (object movement on continuous trajectory) and non-regular (trajectory breaks due to object occlusions by other objects, object jumps and others). In the case of regular object movement a tracker is considered as a dynamical system that enables to use conditions of existence, uniqueness, and stability of the dynamical system solution. This condition is used as the correctness criterion of the tracking process. Also, quantitative criterion for correct mean-shift tracking assessment based on the Lipchitz condition is suggested. Results are generalized for arbitrary tracker.

Keywords: computer vision, tracking, mean-shift, dynamical systems
Citation in English: Vrazhnov D.A., Shapovalov A.V., Nikolaev V.V. On quality of object tracking algorithms // Computer Research and Modeling, 2012, vol. 4, no. 2, pp. 303-313
Citation in English: Vrazhnov D.A., Shapovalov A.V., Nikolaev V.V. On quality of object tracking algorithms // Computer Research and Modeling, 2012, vol. 4, no. 2, pp. 303-313
DOI: 10.20537/2076-7633-2012-4-2-303-313
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  • Anton Albertovich Shaposhnikov, Elena Vakilievna Shaposhnikova, Albert Igorevich Shaposhnikov. About quality of Kernel based object tracking. // Computer Research and Modeling. 2014. — V. 6, no. 4. — P. 495. DOI: 10.20537/2076-7633-2014-6-4-495-502
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