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Target recognition and tracking is a tough task in computer vision. How to recognize a target accurately and tracking robustly is still a core problem studied by researchers. And the task is even more challenging in outdoor environment. In this paper, a recognition and tracking algorithm suitable for a natural target in outdoor environment is introduced. The natural target we choose is the overhead...
Aiming at the problem of real time and robustness of visual object tracking in a clutter background, an adaptive fusion of color rectangle feature and edge strength local mean tracking algorithm based on particle filter is put forward. To improve the tracking speed and precision, integral image is used to quickly compute the color rectangle feature and edge strength local mean, besides fuzzy logic...
Robust and real time moving object tracking is a tricky job in computer vision problems. Particle filtering has been proven very successful for non-Gaussian and non-linear estimation problems. In this paper, we first try to develop a color based particle filter. In this approach, the object tracking system relies on the deterministic search of window, whose color content matches a reference histogram...
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