RGBT tracking receives a surge of interest in the computer vision community, but this
research field lacks a large-scale and high-diversity benchmark dataset, which is essential …

The high voltage insulator requires continuous monitoring and inspection to prevent failures
and emergencies. Manual inspections are costly as it requires covering a large …

Medical imaging refers to several different technologies that are used to view the human
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …

Recording workers' activities is an important, but burdensome, management task for site
supervisors. The last decade has seen a growing trend toward vision‐based activity …

Due to the advancements of Machine learning and vast usage of multimedia data, the image
and video annotation has become quite popular now. In the area of image annotation, the …

We present a visual-infrared video sequence dataset for object detection and tracking,
called the CAMEL dataset 1. The dataset consists of 26 video sequences captured in the …

Unmanned aerial vehicle (UAV) tracking is of great significance for a wide range of
applications, such as delivery and agriculture. Previous benchmarks in this area mainly …

The aim of this study was to investigate using existing image recognition techniques to
predict the behavior of dairy cows. A total of 46 individual dairy cows were monitored …

The popularity of racket sports (eg, tennis and table tennis) leads to high demands for data
analysis, such as notational analysis, on player performance. While sports videos offer many …

Deep learning requires large amounts of annotated data. Manual annotation of objects in
video is, regardless of annotation type, a tedious and time-consuming process. In particular …