关键词: 压缩跟踪, 尺度自适应, 粒子滤波, 实时

Abstract: The fixed-size tracking box is usually employed to match the target in the traditional compressive tracking algorithm. Much success has been demonstrated in most cases, while it may fail if the target scale changes a lot. In this paper it proposes a scale-adaptive compressive tracking algorithm that can optimize the tracking of the moving target. The algorithm exploits particle filter method on the basis of original compressive tracking algorithm. The classifier response is utilized to generate particle importance weight and a resample procedure preserves samples according to weight to avoid the degeneracy of the particle. Furthermore, a 2-order transition model is presented to estimate the current position and scale status which enable the algorithm to adapt to the scale change of moving targets automatically. The experimental results show that the proposed scale-adaptive compressive tracking algorithm performs favorably against several state-of-
the-art tracking algorithms on challenging sequences in terms of the center location and the overlap rate.

Key words: compressive tracking, scale adaptive, particle filter, real-time