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20142026
most citedAnomaly Detection in Road Traffic Using Visual Surveillance: A Survey

158 citations · 432 across the 18 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CV2018★ 11 cited

Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE

Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy +1

Classifying time series data using neural networks is a challenging problem when the length of the data varies. Video object trajectories, which are key to many of the visual surve…

cs.HC2018★ 17 cited

Visual Rendering of Shapes on 2D Display Devices Guided by Hand Gestures

Abhik Singla, Partha Pratim Roy, Debi Prosad Dogra

Designing of touchless user interface is gaining popularity in various contexts. Using such interfaces, users can interact with electronic devices even when the hands are dirty or…

cs.CV2018★ 101 cited

Fingertip Detection and Tracking for Recognition of Air-Writing in Videos

Sohom Mukherjee, Arif Ahmed, Debi Prosad Dogra +2

Air-writing is the process of writing characters or words in free space using finger or hand movements without the aid of any hand-held device. In this work, we address the problem…

cs.HC2018★ 2 cited

PlutoAR: An Inexpensive, Interactive And Portable Augmented Reality Based Interpreter For K-10 Curriculum

Shourya Pratap Singh, Ankit Kumar Panda, Susobhit Panigrahi +2

The regular K-10 curriculums often do not get the necessary of affordable technology involving interactive ways of teaching the prescribed curriculum with effective analytical skil…

cs.CV2018★ 26 cited

Temporal Unknown Incremental Clustering (TUIC) Model for Analysis of Traffic Surveillance Videos

Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy

Optimized scene representation is an important characteristic of a framework for detecting abnormalities on live videos. One of the challenges for detecting abnormalities in live v…

cs.CV2018★ 24 cited

Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model

Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy

Accurate prediction of traffic signal duration for roadway junction is a challenging problem due to the dynamic nature of traffic flows. Though supervised learning can be used, par…