The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …

摘要视觉跟踪问题是当前计算机视觉领域中的热点问题, 本文对这一问题进行了详细的介绍.
首先, 对视觉跟踪技术在视频监视, 图像压缩和三维重构等三个主要方面的应用进行了论述 …

We propose a framework for learning robust, adaptive, appearance models to be used for
motion-based tracking of natural objects. The model adapts to slowly changing appearance …

A sentient system combines detection, tracking, and immersive visualization of a cluttered
and crowded environment, such as an office building, terminal, or other enclosed site using …

Visual surveillance is an active research topic in image processing. Transit systems are
actively seeking new or improved ways to use technology to deter and respond to accidents …

Background subtraction algorithms define the background as parts of a scene that are at
rest. Traditionally, these algorithms assume a stationary camera, and identify moving objects …

Segmentation and tracking of multiple humans in crowded situations is made difficult by
interobject occlusion. We propose a model-based approach to interpret the image …

Tracking multiple humans in complex situations is challenging. The difficulties are tackled
with appropriate knowledge in the form of various models in our approach. Human motion is …

A very efficient and robust visual object tracking algorithm based on the particle filter is
presented. The method characterizes the tracked objects using color and edge orientation …