2 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
A Survey of Single-Scene Video Anomaly Detection
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
This survey article summarizes research trends on the topic of anomaly detection in video feeds of a single scene. We discuss the various problem formulations, publicly available d…
Learning a distance function with a Siamese network to localize anomalies in videos
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
This work introduces a new approach to localize anomalies in surveillance video. The main novelty is the idea of using a Siamese convolutional neural network (CNN) to learn a dista…
Street Scene: A new dataset and evaluation protocol for video anomaly detection
Bharathkumar Ramachandra, Michael Jones
Progress in video anomaly detection research is currently slowed by small datasets that lack a wide variety of activities as well as flawed evaluation criteria. This paper aims to…
Relational Long Short-Term Memory for Video Action Recognition
Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu +1
Spatial and temporal relationships, both short-range and long-range, between objects in videos, are key cues for recognizing actions. It is a challenging problem to model them join…