Object Tracking Algorithm Using Multi-scale Local Texture Features

To solve the problem of inaccuracy and large calculation of traditional histogram-based tracker, this paper proposes a local feature-based tracking algorithm using multi-scale texture descriptor for each point. A high-dimensional texture descriptor with discriminative power is defined. Vector operation is applied to points matching and primary mapping is implemented through mean-shift according to the position of spatial point set. Subsequently, the location and scale of the object is determined by verifying the similarity between candidates and original target according to color information while the window is zooming. The results show the robustness of this algorithm against clutter, noise and change in target scale.