Image tagging is an essential step for developing Automatic Image Annotation (AIA)
methods that are based on the learning by example paradigm. However, manual image …

Behavioral researchers spend considerable amount of time coding video data to
systematically extract meaning from subtle human actions and emotions. In this paper, we …

Abstract Progress in Multiple Object Tracking (MOT) has been limited by the size of the
available datasets. We present an efficient framework to annotate trajectories and use it to …

The advent of affordable jobsite cameras is reshaping the way on-site construction activities
are monitored. To facilitate the analysis of large collections of videos, research has focused …

In order to withstand the ever-increasing invasion of privacy by CCTV cameras and
technologies, on par CCTV-aware solutions must exist that provide privacy, safety, and …

eXpert-BSM is a real time forward-reasoning expert system that analyzes Sun Solaris audit
trails. Based on many years of intrusion detection research, eXpert-BSM's knowledge base …

Collecting a sufficient amount of 3D training data for autonomous vehicles to handle rare,
but critical, traffic events (eg, collisions) may take decades of deployment. Abundant video …

Coding behavioral video is an important method used by researchers to understand social
phenomenon. Unfortunately, traditional hand-coding approaches can take days or weeks of …

Crowdsourcing platforms emerged as popular venues for purchasing human intelligence at
low cost for large volume of tasks. As many low-paid workers are prone to give noisy …

In computer vision and machine learning, the availability of annotated datasets is of crucial
importance for both learning and performance evaluation. However, annotating visual …