The increase in the deployment of surveillance camera in outdoor and indoor settings have
resulted in a growing demand for intelligent systems that can accurately detect and …

Breast cancer, with its high mortality, faces diagnostic challenges due to variability in
mammography quality and breast densities, leading to inconsistencies in radiological …

Developing a reliable and accurate indoor localization system is a crucial step for creating a
seamless and interactive user-device experience in nearly all intelligent internet of things …

The fast improvement of deep learning methods resulted in breakthroughs in image
classification, object detection, and object tracking. Autonomous driving and traffic …

Introduction: Advances in machine vision and mobile electronics will be accelerated by the
creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture …

The video data captured by satellites, colloquially referred to as “gazing,” holds significant
value for analyzing object status and dynamically tracking movements. Such data and their …

Ensuring driving safety for autonomous vehicles has become increasingly crucial,
highlighting the need for systematic tracking of pedestrians on the road. Most vehicles are …

Real-time locating systems (RTLSs) have proven to be a practical and effective solution for
monitoring positions/status of humans and other entities in industrial environments, ensuring …

Recently, discriminative correlation filters (DCF) have been successfully applied for visual
tracking. However, traditional DCF trackers tend to separately solve boundary effect and …

The recent advances in deep learning techniques enable 2D Multi-object tracking (MOT) to
achieve remarkable performance over traditional methods. However, most 2D MOT …