Tuberculosis is a major health threat in many regions of the world. Opportunistic infections in
immunocompromised HIV/AIDS patients and multi-drug-resistant bacterial strains have …

Tracking-based approaches for abandoned object detection often become unreliable in
complex surveillance videos due to occlusions, lighting changes, and other factors. We …

Instructional videos are one of the most popular ways of teaching and learning in an online
setting. However, navigation in videos is linear as compared to other instructional resources …

Object classification in video is an important factor for improving the reliability of various
automatic applications in video surveillance systems, as well as a fundamental feature for …

Object detection and classification is challenging problem for vision-based intersection
monitoring since traditional motion-based techniques work poorly when pedestrians or …

Urban environments present unique challenges from the perspective of surveillance and
security. High volumes of activity data, different weather conditions, crowded scenes …

Human detection in real scenes with high complexity is a crucial problem in computer vision
research. For tackling the human detection task, several existing methods adopt one feature …

From the streets of London to subway stations in New York City, hundreds of thousands of
surveillance cameras ubiquitously collect hundreds of thousands of videos, often running …

Persistent aerial surveillance is an emerging technology that can provide continuous, wide-
area coverage from an aircraft-based multiple-camera system. Tracking targets in these data …

Presence of variety of objects degrade the performance of video surveillance system as a
certain type of objects can be misclassified as some other types of object. Recent …