Search Results for author: Debi Prosad Dogra

Found 16 papers, 1 papers with code

A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications

no code implementations19 Nov 2023 Sudhanshu Kumar, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim

It is the process of computationally identifying and categorizing opinions expressed in a piece of text over different social media platforms.

Opinion Mining Sentiment Analysis

Feature Reweighting for EEG-based Motor Imagery Classification

no code implementations29 Jul 2023 Taveena Lotey, Prateek Keserwani, Debi Prosad Dogra, Partha Pratim Roy

The feature reweighting module of the proposed method generates scores that reweight the feature maps to reduce the impact of irrelevant information.

Classification EEG

DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network

no code implementations2 Nov 2022 Kamalakar Thakare, Yash Raghuwanshi, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim

We then use a refinement strategy based on a cross-branch feed-forward network designed using a popular I3D network to refine both scores.

Anomaly Detection Video Anomaly Detection

Efficacy of Transformer Networks for Classification of Raw EEG Data

no code implementations8 Feb 2022 Gourav Siddhad, Anmol Gupta, Debi Prosad Dogra, Partha Pratim Roy

Despite having achieved automated feature extraction in several other domains, deep learning has not yet been accomplished for EEG.

Age Classification Age Estimation +8

Estimation of Linear Motion in Dense Crowd Videos using Langevin Model

no code implementations15 Apr 2019 Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy

It has been observed that the proposed method is able to estimate and segment the linear flows in the dense crowd with better accuracy as compared to state-of-the-art techniques with substantial decrease in the computational overhead.

Decision Making Optical Flow Estimation

Can We Automate Diagrammatic Reasoning?

no code implementations13 Feb 2019 Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad

Preliminary results indicate that the domain is highly related to computer vision and pattern recognition research with several challenging avenues.

Visual Reasoning

Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes

no code implementations13 Feb 2019 Sk. Arif Ahmed, Debi Prosad Dogra, Heeseung Choi, Seungho Chae, Ig-Jae Kim

In this paper, we extract spatio-temporal sequences of frames (referred to as tubes) of moving persons and apply a multi-stage processing to match a given query tube with a gallery of stored tubes recorded through other cameras.

Person Re-Identification Temporal Sequences

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

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

no code implementations9 Sep 2018 Sohom Mukherjee, Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy

Moreover, the initialization and termination of mid-air finger writing is also challenging due to the absence of any standard delimiting criterion.

Fingertip Detection Hand Detection +3

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

Recognizing Gender from Human Facial Regions using Genetic Algorithm

no code implementations5 Dec 2017 Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar

Next, a face image is segmented into facial regions using landmark points and features are extracted from each region.

General Classification

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