Sk. Arif Ahmed
Sk. Arif Ahmed
Postdoctoral Researcher, UiT The Arctic University of Norway, TromsØ, Norway
Verified email at uit.no - Homepage
Title
Cited by
Cited by
Year
Smart video summarization using mealy machine-based trajectory modelling for surveillance applications
DP Dogra, A Ahmed, H Bhaskar
Multimedia Tools and Applications 75 (11), 6373-6401, 2016
192016
Surveillance scene segmentation based on trajectory classification using supervised learning
R Saini, A Ahmed, DP Dogra, PP Roy
Proceedings of International Conference on Computer Vision and Image …, 2017
122017
Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph
HB D. P. Dogra, R. D. Reddy, K. S. Subramanyam, A. Ahmed
10th International Conference on Computer Vision Theory and Applications …, 2015
11*2015
Localization of region of interest in surveillance scene
SA Ahmed, DP Dogra, S Kar, BG Kim, P Hill, H Bhaskar
Multimedia Tools and Applications 76 (11), 13651-13680, 2017
102017
Fingertip detection and tracking for recognition of air-writing in videos
S Mukherjee, SA Ahmed, DP Dogra, S Kar, PP Roy
Expert Systems with Applications 136, 217-229, 2019
92019
Trajectory-based surveillance analysis: A survey
SA Ahmed, DP Dogra, S Kar, PP Roy
IEEE Transactions on Circuits and Systems for Video Technology 29 (7), 1985-1997, 2018
92018
Surveillance scene representation and trajectory abnormality detection using aggregation of multiple concepts
SA Ahmed, DP Dogra, S Kar, PP Roy
Expert Systems with Applications 101, 43-55, 2018
92018
Neural network based country wise risk prediction of COVID-19
R Pal, AA Sekh, S Kar, DK Prasad
arXiv preprint arXiv:2004.00959, 2020
72020
Classification of object trajectories represented by high-level features using unsupervised learning
R Saini, A Ahmed, DP Dogra, PP Roy
Proceedings of International Conference on Computer Vision and Image …, 2017
72017
Interest Area Localization using Trajectory Analysis in Surveillance Scenes
HB D. P. Dogra, A. Ahmed
10th International Conference on Computer Vision Theory and Applications …, 2015
7*2015
Video synopsis generation using spatio-temporal groups
A Ahmed, S Kar, DP Dogra, R Patnaik, S Lee, H Choi, I Kim
2017 IEEE International Conference on Signal and Image Processing …, 2017
42017
Unsupervised classification of erroneous video object trajectories
SA Ahmed, DP Dogra, S Kar, PP Roy
Soft Computing 22 (14), 4703-4721, 2018
32018
Query-based video synopsis for intelligent traffic monitoring applications
SA Ahmed, DP Dogra, S Kar, R Patnaik, SC Lee, H Choi, GP Nam, IJ Kim
IEEE Transactions on Intelligent Transportation Systems, 2019
22019
Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes
S Ahmed, DP Dogra, H Choi, S Chae, IJ Kim
arXiv preprint arXiv:1902.04856, 2019
12019
Extraction of Long-Duration Moving Object Trajectories from Curtailed Tracks
SA Ahmed, DP Dogra, S Kar, PP Roy
Proceedings of 2nd International Conference on Computer Vision & Image …, 2018
12018
Fuzzy logic based multistage relaying model for cascaded intelligent fault protection scheme
S Samonto, S Kar, S Pal, AA Sekh
Electric Power Systems Research 184, 106341, 2020
2020
ELM-HTM Guided Bio-inspired Unsupervised Learning for Anomalous Trajectory Classification
SA Ahmed, DP Dogra, S Kar, PP Roy, DK Prasad
Cognitive Systems Research, 2020
2020
Video trajectory analysis using unsupervised clustering and multi-criteria ranking
AA Sekh, DP Dogra, S Kar, PP Roy
SOFT COMPUTING, 2020
2020
Can We Automate Diagrammatic Reasoning?
AA Sekh, DP Dogra, S Kar, PP Roy, DK Prasad
Pattern Recognition, 107412, 2020
2020
Learning Nanoscale Motion Patterns of Vesicles in Living Cells
AA Sekh, IS Opstad, AB Birgisdottir, T Myrmel, BS Ahluwalia, K Agarwal, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2020
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