11 citations · 15 across the 5 of their papers we have counts for
13 papers · 1 filter
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network
Kamalakar Thakare, Yash Raghuwanshi, Debi Prosad Dogra +2
Unsupervised approaches for video anomaly detection may not perform as good as supervised approaches. However, learning unknown types of anomalies using an unsupervised approach is…
Understanding Crowd Flow Movements Using Active-Langevin Model
Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay +1
Crowd flow describes the elementary group behavior of crowds. Understanding the dynamics behind these movements can help to identify various abnormalities in crowds. However, devel…
Estimation of Linear Motion in Dense Crowd Videos using Langevin Model
Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay +1
Crowd gatherings at social and cultural events are increasing in leaps and bounds with the increase in population. Surveillance through computer vision and expert decision making s…
Can We Automate Diagrammatic Reasoning?
Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar +2
Learning to solve diagrammatic reasoning (DR) can be a challenging but interesting problem to the computer vision research community. It is believed that next generation pattern re…
Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes
Sk. Arif Ahmed, Debi Prosad Dogra, Heeseung Choi +2
Typical person re-identification frameworks search for k best matches in a gallery of images that are often collected in varying conditions. The gallery may contain image sequences…
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. In this paper, we present a survey on relevant visual surv…