改进的离散连续优化多目标跟踪

The Improved Discrete Continuous Optimization for Multi-target Tracking

针对多目标跟踪中,目标瞬间丢失、目标交错或重叠时目标跟踪失败等情况,本文提出了一种改进的离散连续优化多目标跟踪算法。该方法根据离散连续优化多目标跟踪算法原理,采用增加速度约束项能量函数以及改进原能量函数的策略,以达到约束轨迹形态的目的。采用在全局优化后进行聚类处理的策略,以达到区分不同目标运动轨迹的目的。实验结果表明,该算法具有较好的鲁棒性,能够很好地实现复杂图像序列中的多目标跟踪。

Aiming at several problems occurred in multi-target tracking, such as the moving targets interleaving or overlapping, and the target losing momentarily, an improved discrete continuous optimization for multi-target tracking algorithm is proposed. The method according to the principle of discrete continuous optimization for multiple target tracking, added speed constraints and ameliorated the original energy function, so as to achieve the purpose of constraint the trajectories form. Clustering strategies after global optimization is used to achieve the purpose of distinguishing different trajectories. The experimental results show that the algorithm has better robustness and can well realize multi-target tracking in complex image sequences.