Search Results for author: Santhosh Kelathodi Kumaran

Found 5 papers, 1 papers with code

Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey

no code implementations24 Jan 2019 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.

Anomaly Detection

Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE

3 code implementations18 Dec 2018 Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, Adway Mitra

If such trajectories are used to understand the behavior (normal or anomalous) of moving objects, they need to be represented correctly.

Anomaly Detection Classification +5

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

no code implementations18 Apr 2018 Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy

Pixel motion is first detected using optical flow and a Bayesian algorithm has been applied to associate pixels belonging to similar cluster in subsequent frames.

Clustering Optical Flow Estimation

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

no code implementations17 Mar 2018 Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy

Thus, signal duration prediction is more accurate when tested on these datasets. The method can be used for designing intelligent operator-independent traffic control systems for roadway junctions at cities and highways.

Optical Flow Estimation Scheduling

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