目的随着军事侦察任务设备的发展, 红外与可见光侦察技术成为军事装备中的主要侦察手段.
研究视觉目标跟踪技术对提高任务设备的全天候目标侦察, 目标跟踪, 目标定位等战场情报获取 …

The local parts of the target are vitally important for robust object tracking. Nevertheless,
existing excellent context regression methods involving siamese networks and …

Event cameras, which are asynchronous bio-inspired vision sensors, have shown great
potential in computer vision and artificial intelligence. However, the application of event …

Visual object tracking has played a crucial role in computer vision with many applications.
Being intensively studied in recent decades, visual tracking has witnessed great advances …

Multi-channel discriminative correlation filter (DCF) tracking methods have exhibited
superior performance on several benchmarks. However, existing methods usually treat each …

摘要遮挡问题是导致目标跟踪任务失败的重要因素, 如何提升算法的抗遮挡性能是跟踪领域的
研究热点. 本文首先剖析了遮挡易导致跟踪失败的原因, 论述了构建强判别性的鲁棒目标模型对 …

Purpose The purpose of this paper is to present a programming by demonstration (PbD)
system based on 3D stereoscopic vision and inertial sensing that provides a cost-effective …

Discriminative correlation filter-based (DCF) object-tracking methods exhibit excellent and
efficient performance in short-term tracking. However, these methods do not evaluate the …

Some multi-task trackers adopt an inaccurate shrink strategy to treat different rank
components equally. Thus, their flexibility is vulnerable to some tracking challenges. To …

To tackle the problem that traditional particle-filter-or correlation-filter-based trackers are
prone to low tracking accuracy and poor robustness when the target faces challenges such …