In this paper, a chaotic multiple instance learning tracker based on chaos theory for a robust
and efficient online tracking is introduced. In this method, chaotic characteristics can be …

In this paper, we focus on developing an algorithm for infrared-imaging guidance that
enables the aircraft to be reliably tracked in the event of interference. The key challenge is to …

In this paper, a new object representation method is introduced as an appearance model
based on chaos theory. For robust object tracking, the theory is used to extract a …

The essence of visual tracking is to distinguish the target from background, so how to
describe the difference between target and background is a key problem. In this paper …

Visual object tracking is one of the most important components in computer vision. The main
challenge for robust tracking is to handle illumination change, appearance modification …

Effective object tracking is a great challenging task in computer vision due to the
appearance changes of an object. Extreme learning machine (ELM) can analytically …

This study considers the performance of three object tracking algorithms, namely Circulant
Structure of Tracking-by-Detection with Kernels (CSK), Distribution Fields for Tracking (DFT) …

该文针对压缩跟踪算法无法适应目标尺度的变化以及没有考虑样本权重的问题,
提出一种基于粒子滤波与样本加权的压缩跟踪算法. 首先, 对压缩特征进行改进 …

Dentro del campo de estudio del aprendizaje automático, la clasificación multinstancia tiene
como objetivo construir, a partir de un conjunto de ejemplos, un modelo matemático que …

针对基于检测目标跟踪中的特征描述子Haar-like 表征能力不强和易引入错误训练样本导致目标
漂移的问题, 提出了一种利用分布域描述算子进行示例层级的在线判别特征选择跟踪算法. 首先 …