摘要视觉跟踪在无人飞行器, 移动机器人, 智能监控等领域有着广泛的应用,
但由于目标外观和环境的变化, 以及背景干扰等因素的存在, 使得复杂场景下的鲁棒实时的目标 …

This paper proposes a position and velocity estimation scheme for 2D-moving object using
Kalman filter. First of all, the 2D-moving object is represented by a state-space scheme …

Visual tracking is a critical task in many computer vision applications such as surveillance
and robotics. However, although the robustness to local corruptions has been improved …

The emergence of video surveillance is the most promising solution for people living
independently in their home. Recently several contributions for video surveillance have …

In the current scenario, Intelligent Transportation Systems play a significant role in smart city
platform. Automatic moving vehicle detection from video sequences is the core component …

Adaptive tracking by detection has been widely studied with promising results. The key idea
of such trackers is how to train an online discriminative classifier, which can well separate an …

Infrared target tracking has attracted extensive research efforts in recent years. However,
effective and efficient infrared target tracking is still a hard problem due to the low signal-to …

In this paper, the problem of fast badminton localization problem is investigated for a class of
badminton robots. More precisely, a manifold-learning based localization method is …

Manifold learning has been a popular method in many areas such as classification and
recognition. In this paper, we propose a novel algorithm for pedestrian tracking based on our …

We present a framework for improving probabilistic tracking of an extended object with a set
of model points. The framework combines the tracker with an on-line performance measure …